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Radiative electronic bound states in the continuum from defects in semiconductors
Authors:
Seong Yun Hong,
Liang Z. Tan,
Ki Hoon Lee,
Youngho Kang,
Yeonghun Lee
Abstract:
Continuum-buried defect states in semiconductors are generally expected to be optically inactive due to their strong coupling to continuum bands. Here, we show that such defects can instead host radiative electronic bound states in the continuum (BICs), using the silicon G-center as a prototypical example. Hybrid-functional first-principles calculations with a Hubbard $U$ correction reveal that a…
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Continuum-buried defect states in semiconductors are generally expected to be optically inactive due to their strong coupling to continuum bands. Here, we show that such defects can instead host radiative electronic bound states in the continuum (BICs), using the silicon G-center as a prototypical example. Hybrid-functional first-principles calculations with a Hubbard $U$ correction reveal that a localized defect state, initially buried below the valence band maximum (VBM) in the ground state, undergoes exchange-driven energy-level reordering under optical excitation and shifts above the VBM. This exchange-induced transition suppresses nonradiative decay and enables robust radiative emission. By computing temperature-dependent nonradiative lifetimes and comparing them with experimental photoluminescence (PL) lifetimes, we quantitatively reproduce the observed temperature dependence of the emission. These results uncover a stabilization mechanism for continuum-embedded defect states and establish electronic BICs as a general paradigm for designing defect-based optical systems, including quantum emitters and qubits.
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Submitted 26 May, 2026;
originally announced May 2026.
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Time-Multiplexed Distributed Quantum Sensing
Authors:
Hanbom Yoo,
Hyukgun Kwon,
Seongjin Hong
Abstract:
Quantum metrology enables parameter estimation beyond classical limits by exploiting nonclassical resources such as squeezing and entanglement. In distributed quantum sensing, Heisenberg scaling has been extended from $1/N^2$ to $1/(NM)^2$ through entanglement across both particles and spatial modes, where $N$ denotes the photon number and $M$ the number of spatially distributed modes. However, th…
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Quantum metrology enables parameter estimation beyond classical limits by exploiting nonclassical resources such as squeezing and entanglement. In distributed quantum sensing, Heisenberg scaling has been extended from $1/N^2$ to $1/(NM)^2$ through entanglement across both particles and spatial modes, where $N$ denotes the photon number and $M$ the number of spatially distributed modes. However, the overall sensitivity has remained limited to linear scaling with the number of measurement repetitions $R$. Here, we show that exploiting entanglement across temporal modes via time-domain multiplexing enables a scaling advantage with respect to $R$. As a result, the sensitivity can asymptotically approach simultaneous Heisenberg scaling in photons, spatial modes, and repetitions, yielding an overall sensitivity approaching $Δ^2 φ\propto 1/(NMR)^2$. Using the Bogoliubov transformation formalism, we prove the optimality of the protocol within the class of Gaussian states and show that the scaling is realizable via homodyne detection and maximum-likelihood estimation. We further show that the advantage persists under optical loss and propose an experimentally feasible loop-based photonic sensing scheme. Our results open a route to incorporating time-multiplexing techniques into quantum metrology.
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Submitted 19 March, 2026;
originally announced March 2026.
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Universal Operational Privacy in Distributed Quantum Sensing
Authors:
Min Namkung,
Dong-Hyun Kim,
Seongjin Hong,
Yong-Su Kim,
Su-Yong Lee,
Hyang-Tag Lim
Abstract:
Privacy is a fundamental requirement in distributed quantum sensor networks, where multiple clients estimate spatially distributed parameters using shared quantum resources while interacting with potentially untrusted servers. Despite its importance, existing privacy conditions rely on idealized quantum bounds and do not fully capture the operational constraints imposed by realistic measurements.…
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Privacy is a fundamental requirement in distributed quantum sensor networks, where multiple clients estimate spatially distributed parameters using shared quantum resources while interacting with potentially untrusted servers. Despite its importance, existing privacy conditions rely on idealized quantum bounds and do not fully capture the operational constraints imposed by realistic measurements. Here, we introduce a universal operational privacy framework for distributed quantum sensing, formulated in terms of the experimentally accessible Fisher information matrix and applicable to arbitrary protocols characterized by singular information structures. The proposed condition provides a protocol-independent criterion, ensuring that no information about individual parameters is accessible to untrusted parties. We further experimentally demonstrate that a distributed quantum sensing protocol employing fewer photons than the number of estimated parameters simultaneously satisfies the universal privacy condition and achieves Heisenberg-limited precision. Our results establish universal operational constraints governing privacy in distributed quantum sensor networks and provide a foundation for practical, privacy-preserving quantum sensing beyond full-rank regimes.
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Submitted 16 July, 2026; v1 submitted 27 January, 2026;
originally announced January 2026.
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Operator-aware shadow importance sampling for accurate fidelity estimation
Authors:
Hyunho Cha,
Sangwoo Hong,
Jungwoo Lee
Abstract:
Estimating the fidelity between an unknown quantum state and a fixed target is a fundamental task in quantum information science. Direct fidelity estimation (DFE) enables this without full tomography by sampling observables according to a target-dependent distribution. However, existing approaches face notable trade-offs. Grouping-based DFE achieves strong accuracy for small systems but suffers fr…
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Estimating the fidelity between an unknown quantum state and a fixed target is a fundamental task in quantum information science. Direct fidelity estimation (DFE) enables this without full tomography by sampling observables according to a target-dependent distribution. However, existing approaches face notable trade-offs. Grouping-based DFE achieves strong accuracy for small systems but suffers from exponential scaling, and its applicability is restricted to Pauli measurements. In contrast, classical-shadow-based DFE offers scalability but yields lower accuracy on structured states. In this work, we address these limitations by developing two classes of operator-aware shadow importance sampling algorithms using informationally overcomplete positive operator-valued measures. Instantiated with local Pauli measurements, our algorithm improves upon the grouping-based algorithms for Haar-random states. For structured states such as the GHZ and W states, our algorithm also eliminates the exponential memory requirements of previous grouping-based methods. Numerical experiments confirm that our methods achieve state-of-the-art performance across Haar-random, GHZ, and W targets.
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Submitted 11 March, 2026; v1 submitted 3 November, 2025;
originally announced November 2025.
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Distributed quantum sensing with multi-mode $N00N$ states
Authors:
Dong-Hyun Kim,
Seongjin Hong,
Yong-Su Kim,
Kyunghwan Oh,
Su-Yong Lee,
Changhyoup Lee,
Hyang-Tag Lim
Abstract:
Distributed quantum sensing, which estimates a global parameter across distant nodes, has attracted significant interest for applications such as quantum imaging, sensor networks, and global-scale clock synchronization. $N00N$ states are regarded as one of the optimal quantum resources for quantum metrology, enabling the Heisenberg scaling. Recently, the concept of $N00N$ states has been extended…
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Distributed quantum sensing, which estimates a global parameter across distant nodes, has attracted significant interest for applications such as quantum imaging, sensor networks, and global-scale clock synchronization. $N00N$ states are regarded as one of the optimal quantum resources for quantum metrology, enabling the Heisenberg scaling. Recently, the concept of $N00N$ states has been extended to multi-mode $N00N$ states for quantum-enhanced multiple-parameter estimation. However, the application of multi-mode $N00N$ states in distributed quantum sensing remains unexplored. Here, we propose a distributed quantum sensing scheme that achieves the Heisenberg scaling using multi-mode $N00N$ states. We theoretically show that multi-mode $N00N$ states can reach the Heisenberg scaling by examining both the Cramér-Rao bound and the quantum Cramér-Rao bound. For experimental demonstration, we employ a four-mode $2002$ state to estimate the average of two spatially distributed phases, achieving a 2.74 dB sensitivity enhancement over the standard quantum limit. We believe that utilizing multi-mode $N00N$ states for distributed quantum sensing offers a promising approach for developing entanglement-enhanced sensor networks.
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Submitted 4 August, 2025;
originally announced August 2025.
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Constructive interference at the edge of quantum ergodic dynamics
Authors:
Dmitry A. Abanin,
Rajeev Acharya,
Laleh Aghababaie-Beni,
Georg Aigeldinger,
Ashok Ajoy,
Ross Alcaraz,
Igor Aleiner,
Trond I. Andersen,
Markus Ansmann,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Nikita Astrakhantsev,
Juan Atalaya,
Ryan Babbush,
Dave Bacon,
Brian Ballard,
Joseph C. Bardin,
Christian Bengs,
Andreas Bengtsson,
Alexander Bilmes,
Sergio Boixo,
Gina Bortoli,
Alexandre Bourassa,
Jenna Bovaird
, et al. (240 additional authors not shown)
Abstract:
Quantum observables in the form of few-point correlators are the key to characterizing the dynamics of quantum many-body systems. In dynamics with fast entanglement generation, quantum observables generally become insensitive to the details of the underlying dynamics at long times due to the effects of scrambling. In experimental systems, repeated time-reversal protocols have been successfully imp…
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Quantum observables in the form of few-point correlators are the key to characterizing the dynamics of quantum many-body systems. In dynamics with fast entanglement generation, quantum observables generally become insensitive to the details of the underlying dynamics at long times due to the effects of scrambling. In experimental systems, repeated time-reversal protocols have been successfully implemented to restore sensitivities of quantum observables. Using a 103-qubit superconducting quantum processor, we characterize ergodic dynamics using the second-order out-of-time-order correlators, OTOC$^{(2)}$. In contrast to dynamics without time reversal, OTOC$^{(2)}$ are observed to remain sensitive to the underlying dynamics at long time scales. Furthermore, by inserting Pauli operators during quantum evolution and randomizing the phases of Pauli strings in the Heisenberg picture, we observe substantial changes in OTOC$^{(2)}$ values. This indicates that OTOC$^{(2)}$ is dominated by constructive interference between Pauli strings that form large loops in configuration space. The observed interference mechanism endows OTOC$^{(2)}$ with a high degree of classical simulation complexity, which culminates in a set of large-scale OTOC$^{(2)}$ measurements exceeding the simulation capacity of known classical algorithms. Further supported by an example of Hamiltonian learning through OTOC$^{(2)}$, our results indicate a viable path to practical quantum advantage.
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Submitted 11 June, 2025;
originally announced June 2025.
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Interference-enhanced optical force detection of weak light fields using a levitated nanoparticle
Authors:
Seyed K. Alavi,
Youssef Ezzo,
Ashik Pulikkathara,
Sungkun Hong
Abstract:
Optically levitated nanoparticles in vacuum provide a highly sensitive platform for probing weak light-matter interactions. In this work, we present an interference-based method to amplify the optical force exerted by a weak field on a nanoscale particle trapped in an optical tweezer. By allowing the weak field to interfere with the strong trapping beam, we significantly enhance the optical force…
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Optically levitated nanoparticles in vacuum provide a highly sensitive platform for probing weak light-matter interactions. In this work, we present an interference-based method to amplify the optical force exerted by a weak field on a nanoscale particle trapped in an optical tweezer. By allowing the weak field to interfere with the strong trapping beam, we significantly enhance the optical force compared to the case without interference. This amplified optical force enables the detection of the weak field through the particle's motion, reaching picowatt-level sensitivity under moderate vacuum conditions. We further discuss the potential of this approach for developing an ultrasensitive, nondestructive detector of light fields and for exploring optomechanical interactions at the single-photon level.
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Submitted 17 July, 2025; v1 submitted 3 June, 2025;
originally announced June 2025.
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Inverse Microparticle Design for Enhanced Optical Trapping and Detection Efficiency in All Six Degrees of Freedom
Authors:
Moosung Lee,
Benjamin A. Stickler,
Thomas Pertsch,
Sungkun Hong
Abstract:
Achieving quantum-limited motional control of optically trapped particles beyond the sub-micrometer scale is an outstanding problem in levitated optomechanics. A key obstacle is solving the light scattering problem and identifying particle geometries that allow stable trapping and efficient motional detection of their center of mass and rotational motion in three dimensions. Here, we present a com…
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Achieving quantum-limited motional control of optically trapped particles beyond the sub-micrometer scale is an outstanding problem in levitated optomechanics. A key obstacle is solving the light scattering problem and identifying particle geometries that allow stable trapping and efficient motional detection of their center of mass and rotational motion in three dimensions. Here, we present a computational framework that combines an efficient electromagnetic scattering solver with the adjoint method to inversely design printable microparticles tailored for levitated optomechanics. Our method allows identifying optimized geometries, characterized by enhanced optical trapping and detection efficiencies compared to conventional microspheres. This improves the feasibility of quantum-limited motional control of all translational and rotational degrees of freedom in a standard standing-wave optical trap.
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Submitted 14 July, 2025; v1 submitted 2 June, 2025;
originally announced June 2025.
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Optical levitation of fluorescent silicon carbide nanoparticles in vacuum
Authors:
Seyed Khalil Alavi,
Cheng-I Ho,
Iuliia Neumann,
Daniel Eberle,
Vadim Vorobyov,
Bertold Rasche,
Sungkun Hong
Abstract:
Levitated optomechanics is an emerging field in quantum science that explores the quantum motion of mesoscopic particles levitated in a vacuum. Expanding this approach to particles with intrinsic quantum defects opens new opportunities for quantum sensing and nontrivial quantum state generation. Here, we explore silicon carbide (SiC) nanoparticles as a promising platform that offers a range of con…
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Levitated optomechanics is an emerging field in quantum science that explores the quantum motion of mesoscopic particles levitated in a vacuum. Expanding this approach to particles with intrinsic quantum defects opens new opportunities for quantum sensing and nontrivial quantum state generation. Here, we explore silicon carbide (SiC) nanoparticles as a promising platform that offers a range of controllable quantum defects and material tunability. We demonstrate stable optical levitation of 3C-polytype SiC nanoparticles containing single photon emitters in a vacuum. We observe stable fluorescence from the levitated particle, confirming the preservation of the emitters in the levitated state. We also investigate particle loss at low pressure and explore thermal annealing as a potential method to improve trapping stability. Our results establish SiC as a viable platform for levitated optomechanics, providing additional quantum degrees of freedom and material engineering capabilities.
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Submitted 25 April, 2025;
originally announced April 2025.
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Compact vacuum levitation and control platform with a single 3D-printed fiber lens
Authors:
Seyed Khalil Alavi,
Jose Manuel Monterrosas Romero,
Pavel Ruchka,
Sara Jakovljević,
Harald Giessen,
Sungkun Hong
Abstract:
Levitated dielectric particles in a vacuum have emerged as a new platform in quantum science, with applications ranging from precision acceleration and force sensing to testing quantum physics beyond the microscopic domain. Traditionally, particle levitation relies on optical tweezers formed by tightly focused laser beams, which typically require multiple bulk optical elements aligned in free spac…
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Levitated dielectric particles in a vacuum have emerged as a new platform in quantum science, with applications ranging from precision acceleration and force sensing to testing quantum physics beyond the microscopic domain. Traditionally, particle levitation relies on optical tweezers formed by tightly focused laser beams, which typically require multiple bulk optical elements aligned in free space, limiting robustness and scalability of the system. To address these challenges, we employ a single optical fiber equipped with a high numerical aperture (NA) lens directly printed onto the fiber facet. This enables a compact yet robust optical levitation and detection system composed entirely of fiber-based components, eliminating the need for complex alignment. The high NA of the printed lens allows stable single-beam trapping of a dielectric nanoparticle in a vacuum, even while the fiber is in controlled motion. The high NA also allows for collecting scattered light from the particle with excellent collection efficiency, thus enabling efficient detection and feedback stabilization of the particle's motion. Our platform paves the way for practical and portable sensors based on levitated particles and provides simple yet elegant solutions to complex experiments requiring the integration of levitated particles.
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Submitted 15 October, 2025; v1 submitted 22 April, 2025;
originally announced April 2025.
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Variational optical phase learning on a continuous-variable quantum compiler
Authors:
Matthew A. Feldman,
Tyler Volkoff,
Seongjin Hong,
Claire E. Marvinney,
Zoe Holmes,
Raphael C. Pooser,
Andrew Sornborger,
Alberto M. Marino
Abstract:
Quantum process learning is a fundamental primitive that draws inspiration from machine learning with the goal of better studying the dynamics of quantum systems. One approach to quantum process learning is quantum compilation, whereby an analog quantum operation is digitized by compiling it into a series of basic gates. While there has been significant focus on quantum compiling for discrete-vari…
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Quantum process learning is a fundamental primitive that draws inspiration from machine learning with the goal of better studying the dynamics of quantum systems. One approach to quantum process learning is quantum compilation, whereby an analog quantum operation is digitized by compiling it into a series of basic gates. While there has been significant focus on quantum compiling for discrete-variable systems, the continuous-variable (CV) framework has received comparatively less attention. We present an experimental implementation of a CV quantum compiler that uses two mode-squeezed light to learn a Gaussian unitary operation. We demonstrate the compiler by learning a parameterized linear phase unitary through the use of target and control phase unitaries to demonstrate a factor of 5.4 increase in the precision of the phase estimation and a 3.6-fold acceleration in the time-to-solution metric when leveraging quantum resources. Our results are enabled by the tunable control of our cost landscape via variable squeezing, thus providing a critical framework to simultaneously increase precision and reduce time-to-solution.
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Submitted 14 February, 2025;
originally announced February 2025.
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Scaling and logic in the color code on a superconducting quantum processor
Authors:
Nathan Lacroix,
Alexandre Bourassa,
Francisco J. H. Heras,
Lei M. Zhang,
Johannes Bausch,
Andrew W. Senior,
Thomas Edlich,
Noah Shutty,
Volodymyr Sivak,
Andreas Bengtsson,
Matt McEwen,
Oscar Higgott,
Dvir Kafri,
Jahan Claes,
Alexis Morvan,
Zijun Chen,
Adam Zalcman,
Sid Madhuk,
Rajeev Acharya,
Laleh Aghababaie Beni,
Georg Aigeldinger,
Ross Alcaraz,
Trond I. Andersen,
Markus Ansmann,
Frank Arute
, et al. (190 additional authors not shown)
Abstract:
Quantum error correction is essential for bridging the gap between the error rates of physical devices and the extremely low logical error rates required for quantum algorithms. Recent error-correction demonstrations on superconducting processors have focused primarily on the surface code, which offers a high error threshold but poses limitations for logical operations. In contrast, the color code…
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Quantum error correction is essential for bridging the gap between the error rates of physical devices and the extremely low logical error rates required for quantum algorithms. Recent error-correction demonstrations on superconducting processors have focused primarily on the surface code, which offers a high error threshold but poses limitations for logical operations. In contrast, the color code enables much more efficient logic, although it requires more complex stabilizer measurements and decoding techniques. Measuring these stabilizers in planar architectures such as superconducting qubits is challenging, and so far, realizations of color codes have not addressed performance scaling with code size on any platform. Here, we present a comprehensive demonstration of the color code on a superconducting processor, achieving logical error suppression and performing logical operations. Scaling the code distance from three to five suppresses logical errors by a factor of $Λ_{3/5}$ = 1.56(4). Simulations indicate this performance is below the threshold of the color code, and furthermore that the color code may be more efficient than the surface code with modest device improvements. Using logical randomized benchmarking, we find that transversal Clifford gates add an error of only 0.0027(3), which is substantially less than the error of an idling error correction cycle. We inject magic states, a key resource for universal computation, achieving fidelities exceeding 99% with post-selection (retaining about 75% of the data). Finally, we successfully teleport logical states between distance-three color codes using lattice surgery, with teleported state fidelities between 86.5(1)% and 90.7(1)%. This work establishes the color code as a compelling research direction to realize fault-tolerant quantum computation on superconducting processors in the near future.
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Submitted 18 December, 2024;
originally announced December 2024.
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Quantum error correction below the surface code threshold
Authors:
Rajeev Acharya,
Laleh Aghababaie-Beni,
Igor Aleiner,
Trond I. Andersen,
Markus Ansmann,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Nikita Astrakhantsev,
Juan Atalaya,
Ryan Babbush,
Dave Bacon,
Brian Ballard,
Joseph C. Bardin,
Johannes Bausch,
Andreas Bengtsson,
Alexander Bilmes,
Sam Blackwell,
Sergio Boixo,
Gina Bortoli,
Alexandre Bourassa,
Jenna Bovaird,
Leon Brill,
Michael Broughton,
David A. Browne
, et al. (224 additional authors not shown)
Abstract:
Quantum error correction provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, where the logical error rate is suppressed exponentially as more qubits are added. However, this exponential suppression only occurs if the physical error rate is below a critical threshold. In this work, we present two surface code memories operating below this…
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Quantum error correction provides a path to reach practical quantum computing by combining multiple physical qubits into a logical qubit, where the logical error rate is suppressed exponentially as more qubits are added. However, this exponential suppression only occurs if the physical error rate is below a critical threshold. In this work, we present two surface code memories operating below this threshold: a distance-7 code and a distance-5 code integrated with a real-time decoder. The logical error rate of our larger quantum memory is suppressed by a factor of $Λ$ = 2.14 $\pm$ 0.02 when increasing the code distance by two, culminating in a 101-qubit distance-7 code with 0.143% $\pm$ 0.003% error per cycle of error correction. This logical memory is also beyond break-even, exceeding its best physical qubit's lifetime by a factor of 2.4 $\pm$ 0.3. We maintain below-threshold performance when decoding in real time, achieving an average decoder latency of 63 $μ$s at distance-5 up to a million cycles, with a cycle time of 1.1 $μ$s. To probe the limits of our error-correction performance, we run repetition codes up to distance-29 and find that logical performance is limited by rare correlated error events occurring approximately once every hour, or 3 $\times$ 10$^9$ cycles. Our results present device performance that, if scaled, could realize the operational requirements of large scale fault-tolerant quantum algorithms.
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Submitted 24 August, 2024;
originally announced August 2024.
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Persistent quantum advantage with definite photon-number states in lossy multiple-phase estimation
Authors:
Min Namkung,
Dong-Hyun Kim,
Seongjin Hong,
Changhyoup Lee,
Hyang-Tag Lim
Abstract:
Multiple-phase estimation exploiting quantum states has broad applications in novel sensing and imaging technologies. However, the unavoidable presence of lossy environments in practical settings often diminishes the precision of phase estimations. To address this challenge, we propose an optimal multiple-phase estimation scheme that is inherently robust against photon loss, ensuring a persistent…
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Multiple-phase estimation exploiting quantum states has broad applications in novel sensing and imaging technologies. However, the unavoidable presence of lossy environments in practical settings often diminishes the precision of phase estimations. To address this challenge, we propose an optimal multiple-phase estimation scheme that is inherently robust against photon loss, ensuring a persistent quantum advantage across all levels of photon loss. The scheme employs a multi-mode definite photon-number (DPN) state with weights optimized for given levels of photon loss. We theoretically demonstrate that the DPN state can sustain quantum enhancement in estimation precision under all levels of photon loss, compared to the classical benchmark that employs a coherent state input. The proposed scheme using DPN states generalizes earlier studies employing NOON states, which are only optimal when photon loss is small. We believe that our study, demonstrating persistent robustness to photon loss, paves the way for significant advancements in quantum-enhanced sensing technologies, enabling practical applications and quantum advantages in real-world scenarios.
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Submitted 23 July, 2024;
originally announced July 2024.
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Implementation of CU gates and its application in a remote-controlled quantum operation
Authors:
Byungjoo Kim,
Seongjin Hong,
Yong-Su Kim,
Kyunghwan Oh,
Hyang-Tag Lim
Abstract:
Recently, remote-controlled quantum information processing has been proposed for its applications in secure quantum processing protocols and distributed quantum networks. For remote-controlled quantum gates, the experimental realization of controlled unitary (CU) gates between any quantum gates is an essential task. Here, we propose and experimentally demonstrate a scheme for implementing CU gates…
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Recently, remote-controlled quantum information processing has been proposed for its applications in secure quantum processing protocols and distributed quantum networks. For remote-controlled quantum gates, the experimental realization of controlled unitary (CU) gates between any quantum gates is an essential task. Here, we propose and experimentally demonstrate a scheme for implementing CU gates between arbitrary pairs of unitary gates using the polarization and time-bin degrees of freedom of single-photons. Then, we experimentally implement remote-controlled single-qubit unitary gates by controlling either the state preparation or measurement of the control qubit with high process fidelities. We believe that the proposed remote-controlled quantum gate model can pave the way for secure and efficient quantum information processing.
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Submitted 24 May, 2024;
originally announced May 2024.
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Coherent control of levitated nanoparticles via dipole-dipole interaction
Authors:
Sandeep Sharma,
Seongi Hong,
Andrey S. Moskalenko
Abstract:
We propose a scheme to create and transfer thermal squeezed states and random-phase coherent states in a system of two interacting levitated nanoparticles. In this coupled levitated system, we create a thermal squeezed state of motion in one of the nanoparticles by parametrically driving it and then transferring the state to the other nanoparticle with high fidelity. The transfer mechanism is base…
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We propose a scheme to create and transfer thermal squeezed states and random-phase coherent states in a system of two interacting levitated nanoparticles. In this coupled levitated system, we create a thermal squeezed state of motion in one of the nanoparticles by parametrically driving it and then transferring the state to the other nanoparticle with high fidelity. The transfer mechanism is based on inducing a non-reciprocal type of coupling in the system by suitably modulating the phases of the trapping lasers and the inter-particle distance between the levitated nanoparticles. This non-reciprocal coupling creates a unidirectional channel where information flows from one nanoparticle to the other nanoparticle but not vice versa, thereby allowing for transfer of mechanical states between the nanoparticles with high fidelity. We also affirm this transfer mechanism by creating and efficiently transferring a random-phase coherent state in the coupled levitated system. Further, we make use of the feedback nonlinearity and parametric driving to create simultaneous bistability in the coupled levitated system. Our results may have potential applications in quantum information processing, quantum metrology, and in exploring many-body physics under a controlled environment.
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Submitted 15 April, 2024;
originally announced April 2024.
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Quantum enhanced distributed phase sensing with a truncated SU(1,1) interferometer
Authors:
Seongjin Hong,
Matthew A. Feldman,
Claire E. Marvinney,
Donghwa Lee,
Changhyoup Lee,
Michael T. Febbraro,
Alberto M. Marino,
Raphael C. Pooser
Abstract:
In recent years, distributed quantum sensing has gained interest for a range of applications requiring networks of sensors, from global-scale clock synchronization to high energy physics. In particular, a network of entangled sensors can improve not only the sensitivity beyond the shot noise limit, but also enable a Heisenberg scaling with the number of sensors. Here, using bright entangled twin b…
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In recent years, distributed quantum sensing has gained interest for a range of applications requiring networks of sensors, from global-scale clock synchronization to high energy physics. In particular, a network of entangled sensors can improve not only the sensitivity beyond the shot noise limit, but also enable a Heisenberg scaling with the number of sensors. Here, using bright entangled twin beams, we theoretically and experimentally demonstrate the detection of a linear combination of two distributed phases beyond the shot noise limit with a truncated SU(1,1) interferometer. We experimentally demonstrate a quantum noise reduction of 1.7 dB and a classical 3 dB signal-to-noise ratio improvement over the separable sensing approach involving two truncated SU(1,1) interferometers. Additionally, we theoretically extend the use of a truncated SU(1,1) interferometer to a multi-phase-distributed sensing scheme that leverages entanglement as a resource to achieve a quantum improvement in the scaling with the number of sensors in the network. Our results pave the way for developing quantum enhanced sensor networks that can achieve an entanglement-enhanced sensitivity.
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Submitted 25 March, 2024;
originally announced March 2024.
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Optimal multiple-phase estimation with multi-mode NOON states against photon loss
Authors:
Min Namkung,
Dong-Hyun Kim,
Seongjin Hong,
Yong-Su Kim,
Changhyoup Lee,
Hyang-Tag Lim
Abstract:
Multi-mode NOON states can quantum-enhance multiple-phase estimation in the absence of photon loss. However, a multi-mode NOON state is known to be vulnerable to photon loss, and its quantum-enhancement can be dissipated by lossy environment. In this work, we demonstrate that a quantum advantage in estimate precision can still be achieved in the presence of photon loss. This is accomplished by opt…
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Multi-mode NOON states can quantum-enhance multiple-phase estimation in the absence of photon loss. However, a multi-mode NOON state is known to be vulnerable to photon loss, and its quantum-enhancement can be dissipated by lossy environment. In this work, we demonstrate that a quantum advantage in estimate precision can still be achieved in the presence of photon loss. This is accomplished by optimizing the weights of the multi-mode NOON states according to photon loss rates in the multiple modes, including the reference mode which defines the other phases. For practical relevance, we also show that photon-number counting via a multi-mode beam-splitter achieves the useful, albeit sub-optimal, quantum advantage. We expect this work to provide valuable guidance for developing quantum-enhanced multiple-phase estimation techniques in lossy environments.
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Submitted 20 July, 2024; v1 submitted 18 January, 2024;
originally announced January 2024.
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Optimizing quantum gates towards the scale of logical qubits
Authors:
Paul V. Klimov,
Andreas Bengtsson,
Chris Quintana,
Alexandre Bourassa,
Sabrina Hong,
Andrew Dunsworth,
Kevin J. Satzinger,
William P. Livingston,
Volodymyr Sivak,
Murphy Y. Niu,
Trond I. Andersen,
Yaxing Zhang,
Desmond Chik,
Zijun Chen,
Charles Neill,
Catherine Erickson,
Alejandro Grajales Dau,
Anthony Megrant,
Pedram Roushan,
Alexander N. Korotkov,
Julian Kelly,
Vadim Smelyanskiy,
Yu Chen,
Hartmut Neven
Abstract:
A foundational assumption of quantum error correction theory is that quantum gates can be scaled to large processors without exceeding the error-threshold for fault tolerance. Two major challenges that could become fundamental roadblocks are manufacturing high performance quantum hardware and engineering a control system that can reach its performance limits. The control challenge of scaling quant…
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A foundational assumption of quantum error correction theory is that quantum gates can be scaled to large processors without exceeding the error-threshold for fault tolerance. Two major challenges that could become fundamental roadblocks are manufacturing high performance quantum hardware and engineering a control system that can reach its performance limits. The control challenge of scaling quantum gates from small to large processors without degrading performance often maps to non-convex, high-constraint, and time-dependent control optimization over an exponentially expanding configuration space. Here we report on a control optimization strategy that can scalably overcome the complexity of such problems. We demonstrate it by choreographing the frequency trajectories of 68 frequency-tunable superconducting qubits to execute single- and two-qubit gates while mitigating computational errors. When combined with a comprehensive model of physical errors across our processor, the strategy suppresses physical error rates by $\sim3.7\times$ compared with the case of no optimization. Furthermore, it is projected to achieve a similar performance advantage on a distance-23 surface code logical qubit with 1057 physical qubits. Our control optimization strategy solves a generic scaling challenge in a way that can be adapted to a variety of quantum operations, algorithms, and computing architectures.
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Submitted 9 January, 2024; v1 submitted 4 August, 2023;
originally announced August 2023.
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Model-based Optimization of Superconducting Qubit Readout
Authors:
Andreas Bengtsson,
Alex Opremcak,
Mostafa Khezri,
Daniel Sank,
Alexandre Bourassa,
Kevin J. Satzinger,
Sabrina Hong,
Catherine Erickson,
Brian J. Lester,
Kevin C. Miao,
Alexander N. Korotkov,
Julian Kelly,
Zijun Chen,
Paul V. Klimov
Abstract:
Measurement is an essential component of quantum algorithms, and for superconducting qubits it is often the most error prone. Here, we demonstrate model-based readout optimization achieving low measurement errors while avoiding detrimental side-effects. For simultaneous and mid-circuit measurements across 17 qubits, we observe 1.5% error per qubit with a 500ns end-to-end duration and minimal exces…
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Measurement is an essential component of quantum algorithms, and for superconducting qubits it is often the most error prone. Here, we demonstrate model-based readout optimization achieving low measurement errors while avoiding detrimental side-effects. For simultaneous and mid-circuit measurements across 17 qubits, we observe 1.5% error per qubit with a 500ns end-to-end duration and minimal excess reset error from residual resonator photons. We also suppress measurement-induced state transitions achieving a leakage rate limited by natural heating. This technique can scale to hundreds of qubits and be used to enhance the performance of error-correcting codes and near-term applications.
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Submitted 5 February, 2024; v1 submitted 3 August, 2023;
originally announced August 2023.
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Dynamics of magnetization at infinite temperature in a Heisenberg spin chain
Authors:
Eliott Rosenberg,
Trond Andersen,
Rhine Samajdar,
Andre Petukhov,
Jesse Hoke,
Dmitry Abanin,
Andreas Bengtsson,
Ilya Drozdov,
Catherine Erickson,
Paul Klimov,
Xiao Mi,
Alexis Morvan,
Matthew Neeley,
Charles Neill,
Rajeev Acharya,
Richard Allen,
Kyle Anderson,
Markus Ansmann,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Juan Atalaya,
Joseph Bardin,
A. Bilmes,
Gina Bortoli
, et al. (156 additional authors not shown)
Abstract:
Understanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the 1D Heisenberg model were conjectured to belong to the Kardar-Parisi-Zhang (KPZ) universality class based on the scaling of the infinite-temperature spin-spin correlation function. In a chain of 46 superconducting qubits, we study the probability distributio…
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Understanding universal aspects of quantum dynamics is an unresolved problem in statistical mechanics. In particular, the spin dynamics of the 1D Heisenberg model were conjectured to belong to the Kardar-Parisi-Zhang (KPZ) universality class based on the scaling of the infinite-temperature spin-spin correlation function. In a chain of 46 superconducting qubits, we study the probability distribution, $P(\mathcal{M})$, of the magnetization transferred across the chain's center. The first two moments of $P(\mathcal{M})$ show superdiffusive behavior, a hallmark of KPZ universality. However, the third and fourth moments rule out the KPZ conjecture and allow for evaluating other theories. Our results highlight the importance of studying higher moments in determining dynamic universality classes and provide key insights into universal behavior in quantum systems.
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Submitted 4 April, 2024; v1 submitted 15 June, 2023;
originally announced June 2023.
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Josephson parametric amplifier with Chebyshev gain profile and high saturation
Authors:
Ryan Kaufman,
Theodore White,
Mark I. Dykman,
Andrea Iorio,
George Stirling,
Sabrina Hong,
Alex Opremcak,
Andreas Bengtsson,
Lara Faoro,
Joseph C. Bardin,
Tim Burger,
Robert Gasca,
Ofer Naaman
Abstract:
We demonstrate a Josephson parametric amplifier design with a band-pass impedance matching network based on a third-order Chebyshev prototype. We measured eight amplifiers operating at 4.6 GHz that exhibit gains of 20 dB with less than 1 dB gain ripple and up to 500 MHz bandwidth. The amplifiers further achieve high output saturation powers around -73 dBm based on the use of rf-SQUID arrays as the…
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We demonstrate a Josephson parametric amplifier design with a band-pass impedance matching network based on a third-order Chebyshev prototype. We measured eight amplifiers operating at 4.6 GHz that exhibit gains of 20 dB with less than 1 dB gain ripple and up to 500 MHz bandwidth. The amplifiers further achieve high output saturation powers around -73 dBm based on the use of rf-SQUID arrays as their nonlinear element. We characterize the system readout efficiency and its signal-to-noise ratio near saturation using a Sycamore processor, finding the data consistent with near quantum limited noise performance of the amplifiers. In addition, we measure the amplifiers' intermodulation distortion in two-tone experiments as a function of input power and inter-tone detuning, and observe excess distortion at small detuning with a pronounced dip as a function of signal power, which we interpret in terms of power-dependent dielectric losses.
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Submitted 28 May, 2023;
originally announced May 2023.
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Quantum Enhanced Probes of Magnetic Circular Dichroism
Authors:
Chengyun Hua,
Claire E. Marvinney,
Seongjin Hong,
Matthew Feldman,
Yun-Yi Pai,
Michael Chilcote,
Joshua Rabinowitz,
Raphael C. Pooser,
Alberto Marino,
Benjamin J. Lawrie
Abstract:
Magneto-optical microscopies, including optical measurements of magnetic circular dichroism, are increasingly ubiquitous tools for probing spin-orbit coupling, charge-carrier g-factors, and chiral excitations in matter, but the minimum detectable signal in classical magnetic circular dichroism measurements is fundamentally limited by the shot-noise limit of the optical readout field. Here, we use…
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Magneto-optical microscopies, including optical measurements of magnetic circular dichroism, are increasingly ubiquitous tools for probing spin-orbit coupling, charge-carrier g-factors, and chiral excitations in matter, but the minimum detectable signal in classical magnetic circular dichroism measurements is fundamentally limited by the shot-noise limit of the optical readout field. Here, we use a two-mode squeezed light source to improve the minimum detectable signal in magnetic circular dichroism measurements by 3 dB compared with state-of-the-art classical measurements, even with relatively lossy samples like terbium gallium garnet. We also identify additional opportunities for improvement in quantum-enhanced magneto-optical microscopies, and we demonstrate the importance of these approaches for environmentally sensitive materials and for low temperature measurements where increased optical power can introduce unacceptable thermal perturbations.
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Submitted 4 May, 2023;
originally announced May 2023.
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Stable Quantum-Correlated Many Body States through Engineered Dissipation
Authors:
X. Mi,
A. A. Michailidis,
S. Shabani,
K. C. Miao,
P. V. Klimov,
J. Lloyd,
E. Rosenberg,
R. Acharya,
I. Aleiner,
T. I. Andersen,
M. Ansmann,
F. Arute,
K. Arya,
A. Asfaw,
J. Atalaya,
J. C. Bardin,
A. Bengtsson,
G. Bortoli,
A. Bourassa,
J. Bovaird,
L. Brill,
M. Broughton,
B. B. Buckley,
D. A. Buell,
T. Burger
, et al. (142 additional authors not shown)
Abstract:
Engineered dissipative reservoirs have the potential to steer many-body quantum systems toward correlated steady states useful for quantum simulation of high-temperature superconductivity or quantum magnetism. Using up to 49 superconducting qubits, we prepared low-energy states of the transverse-field Ising model through coupling to dissipative auxiliary qubits. In one dimension, we observed long-…
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Engineered dissipative reservoirs have the potential to steer many-body quantum systems toward correlated steady states useful for quantum simulation of high-temperature superconductivity or quantum magnetism. Using up to 49 superconducting qubits, we prepared low-energy states of the transverse-field Ising model through coupling to dissipative auxiliary qubits. In one dimension, we observed long-range quantum correlations and a ground-state fidelity of 0.86 for 18 qubits at the critical point. In two dimensions, we found mutual information that extends beyond nearest neighbors. Lastly, by coupling the system to auxiliaries emulating reservoirs with different chemical potentials, we explored transport in the quantum Heisenberg model. Our results establish engineered dissipation as a scalable alternative to unitary evolution for preparing entangled many-body states on noisy quantum processors.
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Submitted 5 April, 2024; v1 submitted 26 April, 2023;
originally announced April 2023.
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Phase transition in Random Circuit Sampling
Authors:
A. Morvan,
B. Villalonga,
X. Mi,
S. Mandrà,
A. Bengtsson,
P. V. Klimov,
Z. Chen,
S. Hong,
C. Erickson,
I. K. Drozdov,
J. Chau,
G. Laun,
R. Movassagh,
A. Asfaw,
L. T. A. N. Brandão,
R. Peralta,
D. Abanin,
R. Acharya,
R. Allen,
T. I. Andersen,
K. Anderson,
M. Ansmann,
F. Arute,
K. Arya,
J. Atalaya
, et al. (160 additional authors not shown)
Abstract:
Undesired coupling to the surrounding environment destroys long-range correlations on quantum processors and hinders the coherent evolution in the nominally available computational space. This incoherent noise is an outstanding challenge to fully leverage the computation power of near-term quantum processors. It has been shown that benchmarking Random Circuit Sampling (RCS) with Cross-Entropy Benc…
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Undesired coupling to the surrounding environment destroys long-range correlations on quantum processors and hinders the coherent evolution in the nominally available computational space. This incoherent noise is an outstanding challenge to fully leverage the computation power of near-term quantum processors. It has been shown that benchmarking Random Circuit Sampling (RCS) with Cross-Entropy Benchmarking (XEB) can provide a reliable estimate of the effective size of the Hilbert space coherently available. The extent to which the presence of noise can trivialize the outputs of a given quantum algorithm, i.e. making it spoofable by a classical computation, is an unanswered question. Here, by implementing an RCS algorithm we demonstrate experimentally that there are two phase transitions observable with XEB, which we explain theoretically with a statistical model. The first is a dynamical transition as a function of the number of cycles and is the continuation of the anti-concentration point in the noiseless case. The second is a quantum phase transition controlled by the error per cycle; to identify it analytically and experimentally, we create a weak link model which allows varying the strength of noise versus coherent evolution. Furthermore, by presenting an RCS experiment with 67 qubits at 32 cycles, we demonstrate that the computational cost of our experiment is beyond the capabilities of existing classical supercomputers, even when accounting for the inevitable presence of noise. Our experimental and theoretical work establishes the existence of transitions to a stable computationally complex phase that is reachable with current quantum processors.
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Submitted 21 December, 2023; v1 submitted 21 April, 2023;
originally announced April 2023.
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Context Aware Fidelity Estimation
Authors:
Dripto M. Debroy,
Elie Genois,
Jonathan A. Gross,
Wojciech Mruczkiewicz,
Kenny Lee,
Sabrina Hong,
Zijun Chen,
Vadim Smelyanskiy,
Zhang Jiang
Abstract:
We present Context Aware Fidelity Estimation (CAFE), a framework for benchmarking quantum operations that offers several practical advantages over existing methods such as Randomized Benchmarking (RB) and Cross-Entropy Benchmarking (XEB). In CAFE, a gate or a subcircuit from some target experiment is repeated n times before being measured. By using a subcircuit, we account for effects from spatial…
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We present Context Aware Fidelity Estimation (CAFE), a framework for benchmarking quantum operations that offers several practical advantages over existing methods such as Randomized Benchmarking (RB) and Cross-Entropy Benchmarking (XEB). In CAFE, a gate or a subcircuit from some target experiment is repeated n times before being measured. By using a subcircuit, we account for effects from spatial and temporal circuit context. Since coherent errors accumulate quadratically while incoherent errors grow linearly, we can separate them by fitting the measured fidelity as a function of n. One can additionally interleave the subcircuit with dynamical decoupling sequences to remove certain coherent error sources from the characterization when desired. We have used CAFE to experimentally validate our single- and two-qubit unitary characterizations by measuring fidelity against estimated unitaries. In numerical simulations, we find CAFE produces fidelity estimates at least as accurate as Interleaved RB while using significantly fewer resources. We also introduce a compact formulation for preparing an arbitrary two-qubit state with a single entangling operation, and use it to present a concrete example using CAFE to study CZ gates in parallel on a Sycamore processor.
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Submitted 30 March, 2023;
originally announced March 2023.
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New Space-Efficient Quantum Algorithm for Binary Elliptic Curves using the Optimized Division Algorithm
Authors:
Hyeonhak Kim,
Seokhie Hong
Abstract:
In previous research, quantum resources were concretely estimated for solving Elliptic Curve Discrete Logarithm Problem(ECDLP). In [1], the quantum algorithm was optimized for the binary elliptic curves and the main optimization target was the number of the logical qubits. The division algorithm was mainly optimized in [1] since every ancillary qubit is used in the division algorithm. In this pape…
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In previous research, quantum resources were concretely estimated for solving Elliptic Curve Discrete Logarithm Problem(ECDLP). In [1], the quantum algorithm was optimized for the binary elliptic curves and the main optimization target was the number of the logical qubits. The division algorithm was mainly optimized in [1] since every ancillary qubit is used in the division algorithm. In this paper, we suggest a new quantum division algorithm on the binary field which uses a smaller number of qubits. For elements in a field of $2^n$, we can save $\lceil n/2 \rceil - 1$ qubits instead of using $8n^2+4n-12+(16n-8)\lfloor\log(n)\rfloor$ more Toffoli gates, which leads to a more space-efficient quantum algorithm for binary elliptic curves.
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Submitted 12 March, 2023;
originally announced March 2023.
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Measurement-induced entanglement and teleportation on a noisy quantum processor
Authors:
Jesse C. Hoke,
Matteo Ippoliti,
Eliott Rosenberg,
Dmitry Abanin,
Rajeev Acharya,
Trond I. Andersen,
Markus Ansmann,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Juan Atalaya,
Joseph C. Bardin,
Andreas Bengtsson,
Gina Bortoli,
Alexandre Bourassa,
Jenna Bovaird,
Leon Brill,
Michael Broughton,
Bob B. Buckley,
David A. Buell,
Tim Burger,
Brian Burkett,
Nicholas Bushnell,
Zijun Chen,
Ben Chiaro
, et al. (138 additional authors not shown)
Abstract:
Measurement has a special role in quantum theory: by collapsing the wavefunction it can enable phenomena such as teleportation and thereby alter the "arrow of time" that constrains unitary evolution. When integrated in many-body dynamics, measurements can lead to emergent patterns of quantum information in space-time that go beyond established paradigms for characterizing phases, either in or out…
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Measurement has a special role in quantum theory: by collapsing the wavefunction it can enable phenomena such as teleportation and thereby alter the "arrow of time" that constrains unitary evolution. When integrated in many-body dynamics, measurements can lead to emergent patterns of quantum information in space-time that go beyond established paradigms for characterizing phases, either in or out of equilibrium. On present-day NISQ processors, the experimental realization of this physics is challenging due to noise, hardware limitations, and the stochastic nature of quantum measurement. Here we address each of these experimental challenges and investigate measurement-induced quantum information phases on up to 70 superconducting qubits. By leveraging the interchangeability of space and time, we use a duality mapping, to avoid mid-circuit measurement and access different manifestations of the underlying phases -- from entanglement scaling to measurement-induced teleportation -- in a unified way. We obtain finite-size signatures of a phase transition with a decoding protocol that correlates the experimental measurement record with classical simulation data. The phases display sharply different sensitivity to noise, which we exploit to turn an inherent hardware limitation into a useful diagnostic. Our work demonstrates an approach to realize measurement-induced physics at scales that are at the limits of current NISQ processors.
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Submitted 17 October, 2023; v1 submitted 8 March, 2023;
originally announced March 2023.
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Combining quantum noise reduction resources: a practical approach
Authors:
Sohitri Ghosh,
Matthew A. Feldman,
Seongjin Hong,
Claire E. Marvinney,
Alberto M. Marino,
Raphael C. Pooser,
Jacob M. Taylor
Abstract:
Optomechanical sensors are capable of transducing external perturbations to resolvable optical signals. A particular regime of interest is that of high-bandwidth force detection, where an impulse is delivered to the system over a short period of time. Exceedingly sensitive impulse detection has been proposed to observe very weak signals like those due to long range interactions with dark matter th…
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Optomechanical sensors are capable of transducing external perturbations to resolvable optical signals. A particular regime of interest is that of high-bandwidth force detection, where an impulse is delivered to the system over a short period of time. Exceedingly sensitive impulse detection has been proposed to observe very weak signals like those due to long range interactions with dark matter that require much higher sensitivities than current sensors can provide. Quantum resources to go beyond the traditional standard quantum limit of these sensors include squeezing of the light used to transduce the signal, backaction evasion by measuring the optimal quadrature, and quantum non-demolition (QND) measurements that reduce backaction directly. These methods have been developed in the context of gravitational wave detection for target frequencies in the audio band range. Here, we provide the theoretical limits to quantum noise reduction for higher and broader frequency targets, such as those from dark matter signals, while combining quantum enhanced readout techniques based on squeezed light and QND measurements with optomechanical sensors. We demonstrate that backaction evasion through QND techniques dramatically reduces the technical challenges presented when using squeezed light for broadband force detection, paving the way for combining multiple quantum noise reduction techniques for enhanced sensitivity in the context of impulse metrology.
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Submitted 8 May, 2025; v1 submitted 25 November, 2022;
originally announced November 2022.
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Overcoming leakage in scalable quantum error correction
Authors:
Kevin C. Miao,
Matt McEwen,
Juan Atalaya,
Dvir Kafri,
Leonid P. Pryadko,
Andreas Bengtsson,
Alex Opremcak,
Kevin J. Satzinger,
Zijun Chen,
Paul V. Klimov,
Chris Quintana,
Rajeev Acharya,
Kyle Anderson,
Markus Ansmann,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Joseph C. Bardin,
Alexandre Bourassa,
Jenna Bovaird,
Leon Brill,
Bob B. Buckley,
David A. Buell,
Tim Burger,
Brian Burkett
, et al. (92 additional authors not shown)
Abstract:
Leakage of quantum information out of computational states into higher energy states represents a major challenge in the pursuit of quantum error correction (QEC). In a QEC circuit, leakage builds over time and spreads through multi-qubit interactions. This leads to correlated errors that degrade the exponential suppression of logical error with scale, challenging the feasibility of QEC as a path…
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Leakage of quantum information out of computational states into higher energy states represents a major challenge in the pursuit of quantum error correction (QEC). In a QEC circuit, leakage builds over time and spreads through multi-qubit interactions. This leads to correlated errors that degrade the exponential suppression of logical error with scale, challenging the feasibility of QEC as a path towards fault-tolerant quantum computation. Here, we demonstrate the execution of a distance-3 surface code and distance-21 bit-flip code on a Sycamore quantum processor where leakage is removed from all qubits in each cycle. This shortens the lifetime of leakage and curtails its ability to spread and induce correlated errors. We report a ten-fold reduction in steady-state leakage population on the data qubits encoding the logical state and an average leakage population of less than $1 \times 10^{-3}$ throughout the entire device. The leakage removal process itself efficiently returns leakage population back to the computational basis, and adding it to a code circuit prevents leakage from inducing correlated error across cycles, restoring a fundamental assumption of QEC. With this demonstration that leakage can be contained, we resolve a key challenge for practical QEC at scale.
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Submitted 9 November, 2022;
originally announced November 2022.
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Purification-based quantum error mitigation of pair-correlated electron simulations
Authors:
T. E. O'Brien,
G. Anselmetti,
F. Gkritsis,
V. E. Elfving,
S. Polla,
W. J. Huggins,
O. Oumarou,
K. Kechedzhi,
D. Abanin,
R. Acharya,
I. Aleiner,
R. Allen,
T. I. Andersen,
K. Anderson,
M. Ansmann,
F. Arute,
K. Arya,
A. Asfaw,
J. Atalaya,
D. Bacon,
J. C. Bardin,
A. Bengtsson,
S. Boixo,
G. Bortoli,
A. Bourassa
, et al. (151 additional authors not shown)
Abstract:
An important measure of the development of quantum computing platforms has been the simulation of increasingly complex physical systems. Prior to fault-tolerant quantum computing, robust error mitigation strategies are necessary to continue this growth. Here, we study physical simulation within the seniority-zero electron pairing subspace, which affords both a computational stepping stone to a ful…
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An important measure of the development of quantum computing platforms has been the simulation of increasingly complex physical systems. Prior to fault-tolerant quantum computing, robust error mitigation strategies are necessary to continue this growth. Here, we study physical simulation within the seniority-zero electron pairing subspace, which affords both a computational stepping stone to a fully correlated model, and an opportunity to validate recently introduced ``purification-based'' error-mitigation strategies. We compare the performance of error mitigation based on doubling quantum resources in time (echo verification) or in space (virtual distillation), on up to $20$ qubits of a superconducting qubit quantum processor. We observe a reduction of error by one to two orders of magnitude below less sophisticated techniques (e.g. post-selection); the gain from error mitigation is seen to increase with the system size. Employing these error mitigation strategies enables the implementation of the largest variational algorithm for a correlated chemistry system to-date. Extrapolating performance from these results allows us to estimate minimum requirements for a beyond-classical simulation of electronic structure. We find that, despite the impressive gains from purification-based error mitigation, significant hardware improvements will be required for classically intractable variational chemistry simulations.
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Submitted 19 October, 2022;
originally announced October 2022.
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Non-Abelian braiding of graph vertices in a superconducting processor
Authors:
Trond I. Andersen,
Yuri D. Lensky,
Kostyantyn Kechedzhi,
Ilya Drozdov,
Andreas Bengtsson,
Sabrina Hong,
Alexis Morvan,
Xiao Mi,
Alex Opremcak,
Rajeev Acharya,
Richard Allen,
Markus Ansmann,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Juan Atalaya,
Ryan Babbush,
Dave Bacon,
Joseph C. Bardin,
Gina Bortoli,
Alexandre Bourassa,
Jenna Bovaird,
Leon Brill,
Michael Broughton,
Bob B. Buckley
, et al. (144 additional authors not shown)
Abstract:
Indistinguishability of particles is a fundamental principle of quantum mechanics. For all elementary and quasiparticles observed to date - including fermions, bosons, and Abelian anyons - this principle guarantees that the braiding of identical particles leaves the system unchanged. However, in two spatial dimensions, an intriguing possibility exists: braiding of non-Abelian anyons causes rotatio…
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Indistinguishability of particles is a fundamental principle of quantum mechanics. For all elementary and quasiparticles observed to date - including fermions, bosons, and Abelian anyons - this principle guarantees that the braiding of identical particles leaves the system unchanged. However, in two spatial dimensions, an intriguing possibility exists: braiding of non-Abelian anyons causes rotations in a space of topologically degenerate wavefunctions. Hence, it can change the observables of the system without violating the principle of indistinguishability. Despite the well developed mathematical description of non-Abelian anyons and numerous theoretical proposals, the experimental observation of their exchange statistics has remained elusive for decades. Controllable many-body quantum states generated on quantum processors offer another path for exploring these fundamental phenomena. While efforts on conventional solid-state platforms typically involve Hamiltonian dynamics of quasi-particles, superconducting quantum processors allow for directly manipulating the many-body wavefunction via unitary gates. Building on predictions that stabilizer codes can host projective non-Abelian Ising anyons, we implement a generalized stabilizer code and unitary protocol to create and braid them. This allows us to experimentally verify the fusion rules of the anyons and braid them to realize their statistics. We then study the prospect of employing the anyons for quantum computation and utilize braiding to create an entangled state of anyons encoding three logical qubits. Our work provides new insights about non-Abelian braiding and - through the future inclusion of error correction to achieve topological protection - could open a path toward fault-tolerant quantum computing.
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Submitted 31 May, 2023; v1 submitted 18 October, 2022;
originally announced October 2022.
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Readout of a quantum processor with high dynamic range Josephson parametric amplifiers
Authors:
T. C. White,
Alex Opremcak,
George Sterling,
Alexander Korotkov,
Daniel Sank,
Rajeev Acharya,
Markus Ansmann,
Frank Arute,
Kunal Arya,
Joseph C. Bardin,
Andreas Bengtsson,
Alexandre Bourassa,
Jenna Bovaird,
Leon Brill,
Bob B. Buckley,
David A. Buell,
Tim Burger,
Brian Burkett,
Nicholas Bushnell,
Zijun Chen,
Ben Chiaro,
Josh Cogan,
Roberto Collins,
Alexander L. Crook,
Ben Curtin
, et al. (69 additional authors not shown)
Abstract:
We demonstrate a high dynamic range Josephson parametric amplifier (JPA) in which the active nonlinear element is implemented using an array of rf-SQUIDs. The device is matched to the 50 $Ω$ environment with a Klopfenstein-taper impedance transformer and achieves a bandwidth of 250-300 MHz, with input saturation powers up to -95 dBm at 20 dB gain. A 54-qubit Sycamore processor was used to benchmar…
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We demonstrate a high dynamic range Josephson parametric amplifier (JPA) in which the active nonlinear element is implemented using an array of rf-SQUIDs. The device is matched to the 50 $Ω$ environment with a Klopfenstein-taper impedance transformer and achieves a bandwidth of 250-300 MHz, with input saturation powers up to -95 dBm at 20 dB gain. A 54-qubit Sycamore processor was used to benchmark these devices, providing a calibration for readout power, an estimate of amplifier added noise, and a platform for comparison against standard impedance matched parametric amplifiers with a single dc-SQUID. We find that the high power rf-SQUID array design has no adverse effect on system noise, readout fidelity, or qubit dephasing, and we estimate an upper bound on amplifier added noise at 1.6 times the quantum limit. Lastly, amplifiers with this design show no degradation in readout fidelity due to gain compression, which can occur in multi-tone multiplexed readout with traditional JPAs.
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Submitted 22 November, 2022; v1 submitted 16 September, 2022;
originally announced September 2022.
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Suppressing quantum errors by scaling a surface code logical qubit
Authors:
Rajeev Acharya,
Igor Aleiner,
Richard Allen,
Trond I. Andersen,
Markus Ansmann,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Juan Atalaya,
Ryan Babbush,
Dave Bacon,
Joseph C. Bardin,
Joao Basso,
Andreas Bengtsson,
Sergio Boixo,
Gina Bortoli,
Alexandre Bourassa,
Jenna Bovaird,
Leon Brill,
Michael Broughton,
Bob B. Buckley,
David A. Buell,
Tim Burger,
Brian Burkett,
Nicholas Bushnell
, et al. (132 additional authors not shown)
Abstract:
Practical quantum computing will require error rates that are well below what is achievable with physical qubits. Quantum error correction offers a path to algorithmically-relevant error rates by encoding logical qubits within many physical qubits, where increasing the number of physical qubits enhances protection against physical errors. However, introducing more qubits also increases the number…
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Practical quantum computing will require error rates that are well below what is achievable with physical qubits. Quantum error correction offers a path to algorithmically-relevant error rates by encoding logical qubits within many physical qubits, where increasing the number of physical qubits enhances protection against physical errors. However, introducing more qubits also increases the number of error sources, so the density of errors must be sufficiently low in order for logical performance to improve with increasing code size. Here, we report the measurement of logical qubit performance scaling across multiple code sizes, and demonstrate that our system of superconducting qubits has sufficient performance to overcome the additional errors from increasing qubit number. We find our distance-5 surface code logical qubit modestly outperforms an ensemble of distance-3 logical qubits on average, both in terms of logical error probability over 25 cycles and logical error per cycle ($2.914\%\pm 0.016\%$ compared to $3.028\%\pm 0.023\%$). To investigate damaging, low-probability error sources, we run a distance-25 repetition code and observe a $1.7\times10^{-6}$ logical error per round floor set by a single high-energy event ($1.6\times10^{-7}$ when excluding this event). We are able to accurately model our experiment, and from this model we can extract error budgets that highlight the biggest challenges for future systems. These results mark the first experimental demonstration where quantum error correction begins to improve performance with increasing qubit number, illuminating the path to reaching the logical error rates required for computation.
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Submitted 20 July, 2022; v1 submitted 13 July, 2022;
originally announced July 2022.
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Formation of robust bound states of interacting microwave photons
Authors:
Alexis Morvan,
Trond I. Andersen,
Xiao Mi,
Charles Neill,
Andre Petukhov,
Kostyantyn Kechedzhi,
Dmitry Abanin,
Rajeev Acharya,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Juan Atalaya,
Ryan Babbush,
Dave Bacon,
Joseph C. Bardin,
Joao Basso,
Andreas Bengtsson,
Gina Bortoli,
Alexandre Bourassa,
Jenna Bovaird,
Leon Brill,
Michael Broughton,
Bob B. Buckley,
David A. Buell,
Tim Burger
, et al. (125 additional authors not shown)
Abstract:
Systems of correlated particles appear in many fields of science and represent some of the most intractable puzzles in nature. The computational challenge in these systems arises when interactions become comparable to other energy scales, which makes the state of each particle depend on all other particles. The lack of general solutions for the 3-body problem and acceptable theory for strongly cor…
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Systems of correlated particles appear in many fields of science and represent some of the most intractable puzzles in nature. The computational challenge in these systems arises when interactions become comparable to other energy scales, which makes the state of each particle depend on all other particles. The lack of general solutions for the 3-body problem and acceptable theory for strongly correlated electrons shows that our understanding of correlated systems fades when the particle number or the interaction strength increases. One of the hallmarks of interacting systems is the formation of multi-particle bound states. In a ring of 24 superconducting qubits, we develop a high fidelity parameterizable fSim gate that we use to implement the periodic quantum circuit of the spin-1/2 XXZ model, an archetypal model of interaction. By placing microwave photons in adjacent qubit sites, we study the propagation of these excitations and observe their bound nature for up to 5 photons. We devise a phase sensitive method for constructing the few-body spectrum of the bound states and extract their pseudo-charge by introducing a synthetic flux. By introducing interactions between the ring and additional qubits, we observe an unexpected resilience of the bound states to integrability breaking. This finding goes against the common wisdom that bound states in non-integrable systems are unstable when their energies overlap with the continuum spectrum. Our work provides experimental evidence for bound states of interacting photons and discovers their stability beyond the integrability limit.
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Submitted 21 December, 2022; v1 submitted 10 June, 2022;
originally announced June 2022.
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Noise-resilient Edge Modes on a Chain of Superconducting Qubits
Authors:
Xiao Mi,
Michael Sonner,
Murphy Yuezhen Niu,
Kenneth W. Lee,
Brooks Foxen,
Rajeev Acharya,
Igor Aleiner,
Trond I. Andersen,
Frank Arute,
Kunal Arya,
Abraham Asfaw,
Juan Atalaya,
Ryan Babbush,
Dave Bacon,
Joseph C. Bardin,
Joao Basso,
Andreas Bengtsson,
Gina Bortoli,
Alexandre Bourassa,
Leon Brill,
Michael Broughton,
Bob B. Buckley,
David A. Buell,
Brian Burkett,
Nicholas Bushnell
, et al. (103 additional authors not shown)
Abstract:
Inherent symmetry of a quantum system may protect its otherwise fragile states. Leveraging such protection requires testing its robustness against uncontrolled environmental interactions. Using 47 superconducting qubits, we implement the one-dimensional kicked Ising model which exhibits non-local Majorana edge modes (MEMs) with $\mathbb{Z}_2$ parity symmetry. Remarkably, we find that any multi-qub…
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Inherent symmetry of a quantum system may protect its otherwise fragile states. Leveraging such protection requires testing its robustness against uncontrolled environmental interactions. Using 47 superconducting qubits, we implement the one-dimensional kicked Ising model which exhibits non-local Majorana edge modes (MEMs) with $\mathbb{Z}_2$ parity symmetry. Remarkably, we find that any multi-qubit Pauli operator overlapping with the MEMs exhibits a uniform late-time decay rate comparable to single-qubit relaxation rates, irrespective of its size or composition. This characteristic allows us to accurately reconstruct the exponentially localized spatial profiles of the MEMs. Furthermore, the MEMs are found to be resilient against certain symmetry-breaking noise owing to a prethermalization mechanism. Our work elucidates the complex interplay between noise and symmetry-protected edge modes in a solid-state environment.
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Submitted 8 December, 2022; v1 submitted 24 April, 2022;
originally announced April 2022.
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A high-fidelity quantum matter-link between ion-trap microchip modules
Authors:
M. Akhtar,
F. Bonus,
F. R. Lebrun-Gallagher,
N. I. Johnson,
M. Siegele-Brown,
S. Hong,
S. J. Hile,
S. A. Kulmiya,
S. Weidt,
W. K. Hensinger
Abstract:
System scalability is fundamental for large-scale quantum computers (QCs) and is being pursued over a variety of hardware platforms. For QCs based on trapped ions, architectures such as the quantum charge-coupled device (QCCD) are used to scale the number of qubits on a single device. However, the number of ions that can be hosted on a single quantum computing module is limited by the size of the…
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System scalability is fundamental for large-scale quantum computers (QCs) and is being pursued over a variety of hardware platforms. For QCs based on trapped ions, architectures such as the quantum charge-coupled device (QCCD) are used to scale the number of qubits on a single device. However, the number of ions that can be hosted on a single quantum computing module is limited by the size of the chip being used. Therefore, a modular approach is of critical importance and requires quantum connections between individual modules. Here, we present the demonstration of a quantum matter-link in which ion qubits are transferred between adjacent QC modules. Ion transport between adjacent modules is realised at a rate of 2424$\,$s$^{-1}$ and with an infidelity associated with ion loss during transport below $7\times10^{-8}$. Furthermore, we show that the link does not measurably impact the phase coherence of the qubit. The quantum matter-link constitutes a practical mechanism for the interconnection of QCCD devices. Our work will facilitate the implementation of modular QCs capable of fault-tolerant utility-scale quantum computation.
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Submitted 20 November, 2022; v1 submitted 26 March, 2022;
originally announced March 2022.
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Fabrication of Surface Ion Traps with Integrated Current Carrying Wires enabling High Magnetic Field Gradients
Authors:
Martin Siegele-Brown,
Seokjun Hong,
Foni R. Lebrun-Gallagher,
Samuel J. Hile,
Sebastian Weidt,
Winfried K. Hensinger
Abstract:
A major challenge for quantum computers is the scalable simultaneous execution of quantum gates. One approach to address this in trapped ion quantum computers is the implementation of quantum gates based on static magnetic field gradients and global microwave fields. In this paper, we present the fabrication of surface ion traps with integrated copper current carrying wires embedded inside the sub…
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A major challenge for quantum computers is the scalable simultaneous execution of quantum gates. One approach to address this in trapped ion quantum computers is the implementation of quantum gates based on static magnetic field gradients and global microwave fields. In this paper, we present the fabrication of surface ion traps with integrated copper current carrying wires embedded inside the substrate below the ion trap electrodes, capable of generating high magnetic field gradients. The copper layer's measured sheet resistance of 1.12 m$Ω$/sq at room temperature is sufficiently low to incorporate complex designs, without excessive power dissipation at high currents causing a thermal runaway. At a temperature of 40 K the sheet resistance drops to 20.9 $μΩ$/sq giving a lower limit for the residual resistance ratio of 100. Continuous currents of 13 A can be applied, resulting in a simulated magnetic field gradient of 144 T/m at the ion position, which is 125 $μ$m from the trap surface for the particular anti-parallel wire pair in our design.
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Submitted 28 March, 2022; v1 submitted 4 February, 2022;
originally announced February 2022.
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Error-mitigated photonic variational quantum eigensolver using a single-photon ququart
Authors:
Donghwa Lee,
Jinil Lee,
Seongjin Hong,
Hyang-Tag Lim,
Young-Wook Cho,
Sang-Wook Han,
Hyundong Shin,
Junaid ur Rehman,
Yong-Su Kim
Abstract:
We report the experimental resource-efficient implementation of the variational quantum eigensolver (VQE) using four-dimensional photonic quantum states of single-photons. The four-dimensional quantum states are implemented by utilizing polarization and path degrees of freedom of a single-photon. Our photonic VQE is equipped with the quantum error mitigation (QEM) protocol that efficiently reduces…
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We report the experimental resource-efficient implementation of the variational quantum eigensolver (VQE) using four-dimensional photonic quantum states of single-photons. The four-dimensional quantum states are implemented by utilizing polarization and path degrees of freedom of a single-photon. Our photonic VQE is equipped with the quantum error mitigation (QEM) protocol that efficiently reduces the effects of Pauli noise in the quantum processing unit. We apply our photonic VQE to estimate the ground state energy of He--H$^{+}$ cation. The simulation and experimental results demonstrate that our resource-efficient photonic VQE can accurately estimate the bond dissociation curve, even in the presence of large noise in the quantum processing unit.
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Submitted 29 September, 2021;
originally announced September 2021.
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Observation of Time-Crystalline Eigenstate Order on a Quantum Processor
Authors:
Xiao Mi,
Matteo Ippoliti,
Chris Quintana,
Ami Greene,
Zijun Chen,
Jonathan Gross,
Frank Arute,
Kunal Arya,
Juan Atalaya,
Ryan Babbush,
Joseph C. Bardin,
Joao Basso,
Andreas Bengtsson,
Alexander Bilmes,
Alexandre Bourassa,
Leon Brill,
Michael Broughton,
Bob B. Buckley,
David A. Buell,
Brian Burkett,
Nicholas Bushnell,
Benjamin Chiaro,
Roberto Collins,
William Courtney,
Dripto Debroy
, et al. (80 additional authors not shown)
Abstract:
Quantum many-body systems display rich phase structure in their low-temperature equilibrium states. However, much of nature is not in thermal equilibrium. Remarkably, it was recently predicted that out-of-equilibrium systems can exhibit novel dynamical phases that may otherwise be forbidden by equilibrium thermodynamics, a paradigmatic example being the discrete time crystal (DTC). Concretely, dyn…
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Quantum many-body systems display rich phase structure in their low-temperature equilibrium states. However, much of nature is not in thermal equilibrium. Remarkably, it was recently predicted that out-of-equilibrium systems can exhibit novel dynamical phases that may otherwise be forbidden by equilibrium thermodynamics, a paradigmatic example being the discrete time crystal (DTC). Concretely, dynamical phases can be defined in periodically driven many-body localized systems via the concept of eigenstate order. In eigenstate-ordered phases, the entire many-body spectrum exhibits quantum correlations and long-range order, with characteristic signatures in late-time dynamics from all initial states. It is, however, challenging to experimentally distinguish such stable phases from transient phenomena, wherein few select states can mask typical behavior. Here we implement a continuous family of tunable CPHASE gates on an array of superconducting qubits to experimentally observe an eigenstate-ordered DTC. We demonstrate the characteristic spatiotemporal response of a DTC for generic initial states. Our work employs a time-reversal protocol that discriminates external decoherence from intrinsic thermalization, and leverages quantum typicality to circumvent the exponential cost of densely sampling the eigenspectrum. In addition, we locate the phase transition out of the DTC with an experimental finite-size analysis. These results establish a scalable approach to study non-equilibrium phases of matter on current quantum processors.
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Submitted 11 August, 2021; v1 submitted 28 July, 2021;
originally announced July 2021.
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Implementation of a 3 x 3 directionally-unbiased linear optical multiport
Authors:
Ilhwan Kim,
Donghwa Lee,
Seongjin Hong,
Young-Wook Cho,
Kwang Jo Lee,
Yong-Su Kim,
Hyang-Tag Lim
Abstract:
Linear optical multiports are widely used in photonic quantum information processing. Naturally, these devices are directionally-biased since photons always propagate from the input ports toward the output ports. Recently, the concept of directionally-unbiased linear optical multiports was proposed. These directionally-unbiased multiports allow photons to propagate along a reverse direction, which…
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Linear optical multiports are widely used in photonic quantum information processing. Naturally, these devices are directionally-biased since photons always propagate from the input ports toward the output ports. Recently, the concept of directionally-unbiased linear optical multiports was proposed. These directionally-unbiased multiports allow photons to propagate along a reverse direction, which can greatly reduce the number of required linear optical elements for complicated linear optical quantum networks. Here, we report an experimental demonstration of a 3 x 3 directionally-unbiased linear optical fiber multiport using an optical tritter and mirrors. Compared to the previous demonstration using bulk optical elements which works only with light sources with a long coherence length, our experimental directionally-unbiased 3 x 3 optical multiport does not require a long coherence length since it provides negligible optical path length differences among all possible optical trajectories. It can be a useful building block for implementing large-scale quantum walks on complex graph networks.
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Submitted 25 June, 2021;
originally announced June 2021.
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Global triplewise information trade-off in quantum measurement
Authors:
Seongjin Hong,
Yong-Su Kim,
Young-Wook Cho,
Jaewan Kim,
Seung-Woo Lee,
Hyang-Tag Lim
Abstract:
State disturbance by a quantum measurement is at the core of foundational quantum physics and constitutes a fundamental basis of secure quantum information processing. While quantifying an information-disturbance relation has been a long-standing problem, recently verified reversibility of a quantum measurement requires to refine such a conventional information trade-off toward a complete picture…
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State disturbance by a quantum measurement is at the core of foundational quantum physics and constitutes a fundamental basis of secure quantum information processing. While quantifying an information-disturbance relation has been a long-standing problem, recently verified reversibility of a quantum measurement requires to refine such a conventional information trade-off toward a complete picture of information conservation in quantum measurement. Here we experimentally demonstrate complete trade-off relations among all information contents, i.e., information gain, disturbance and reversibility in quantum measurement. By exploring various quantum measurements applied on a photonic qutrit, we observe that the information of a quantum state is split into three distinct parts accounting for the extracted, disturbed, and reversible information. We verify that such different parts of information are in trade-off relations not only pairwise but also globally all-at-once, and find that the global trade-off relation is tighter than any of the pairwise relations. Finally, we realize optimal quantum measurements that inherently preserve quantum information without loss of information, which offer wider applications in measurement-based quantum information processing.
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Submitted 28 April, 2021;
originally announced April 2021.
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Resolving catastrophic error bursts from cosmic rays in large arrays of superconducting qubits
Authors:
Matt McEwen,
Lara Faoro,
Kunal Arya,
Andrew Dunsworth,
Trent Huang,
Seon Kim,
Brian Burkett,
Austin Fowler,
Frank Arute,
Joseph C. Bardin,
Andreas Bengtsson,
Alexander Bilmes,
Bob B. Buckley,
Nicholas Bushnell,
Zijun Chen,
Roberto Collins,
Sean Demura,
Alan R. Derk,
Catherine Erickson,
Marissa Giustina,
Sean D. Harrington,
Sabrina Hong,
Evan Jeffrey,
Julian Kelly,
Paul V. Klimov
, et al. (28 additional authors not shown)
Abstract:
Scalable quantum computing can become a reality with error correction, provided coherent qubits can be constructed in large arrays. The key premise is that physical errors can remain both small and sufficiently uncorrelated as devices scale, so that logical error rates can be exponentially suppressed. However, energetic impacts from cosmic rays and latent radioactivity violate both of these assump…
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Scalable quantum computing can become a reality with error correction, provided coherent qubits can be constructed in large arrays. The key premise is that physical errors can remain both small and sufficiently uncorrelated as devices scale, so that logical error rates can be exponentially suppressed. However, energetic impacts from cosmic rays and latent radioactivity violate both of these assumptions. An impinging particle ionizes the substrate, radiating high energy phonons that induce a burst of quasiparticles, destroying qubit coherence throughout the device. High-energy radiation has been identified as a source of error in pilot superconducting quantum devices, but lacking a measurement technique able to resolve a single event in detail, the effect on large scale algorithms and error correction in particular remains an open question. Elucidating the physics involved requires operating large numbers of qubits at the same rapid timescales as in error correction, exposing the event's evolution in time and spread in space. Here, we directly observe high-energy rays impacting a large-scale quantum processor. We introduce a rapid space and time-multiplexed measurement method and identify large bursts of quasiparticles that simultaneously and severely limit the energy coherence of all qubits, causing chip-wide failure. We track the events from their initial localised impact to high error rates across the chip. Our results provide direct insights into the scale and dynamics of these damaging error bursts in large-scale devices, and highlight the necessity of mitigation to enable quantum computing to scale.
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Submitted 12 April, 2021;
originally announced April 2021.
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Realizing topologically ordered states on a quantum processor
Authors:
K. J. Satzinger,
Y. Liu,
A. Smith,
C. Knapp,
M. Newman,
C. Jones,
Z. Chen,
C. Quintana,
X. Mi,
A. Dunsworth,
C. Gidney,
I. Aleiner,
F. Arute,
K. Arya,
J. Atalaya,
R. Babbush,
J. C. Bardin,
R. Barends,
J. Basso,
A. Bengtsson,
A. Bilmes,
M. Broughton,
B. B. Buckley,
D. A. Buell,
B. Burkett
, et al. (73 additional authors not shown)
Abstract:
The discovery of topological order has revolutionized the understanding of quantum matter in modern physics and provided the theoretical foundation for many quantum error correcting codes. Realizing topologically ordered states has proven to be extremely challenging in both condensed matter and synthetic quantum systems. Here, we prepare the ground state of the toric code Hamiltonian using an effi…
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The discovery of topological order has revolutionized the understanding of quantum matter in modern physics and provided the theoretical foundation for many quantum error correcting codes. Realizing topologically ordered states has proven to be extremely challenging in both condensed matter and synthetic quantum systems. Here, we prepare the ground state of the toric code Hamiltonian using an efficient quantum circuit on a superconducting quantum processor. We measure a topological entanglement entropy near the expected value of $\ln2$, and simulate anyon interferometry to extract the braiding statistics of the emergent excitations. Furthermore, we investigate key aspects of the surface code, including logical state injection and the decay of the non-local order parameter. Our results demonstrate the potential for quantum processors to provide key insights into topological quantum matter and quantum error correction.
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Submitted 2 April, 2021;
originally announced April 2021.
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Exponential suppression of bit or phase flip errors with repetitive error correction
Authors:
Zijun Chen,
Kevin J. Satzinger,
Juan Atalaya,
Alexander N. Korotkov,
Andrew Dunsworth,
Daniel Sank,
Chris Quintana,
Matt McEwen,
Rami Barends,
Paul V. Klimov,
Sabrina Hong,
Cody Jones,
Andre Petukhov,
Dvir Kafri,
Sean Demura,
Brian Burkett,
Craig Gidney,
Austin G. Fowler,
Harald Putterman,
Igor Aleiner,
Frank Arute,
Kunal Arya,
Ryan Babbush,
Joseph C. Bardin,
Andreas Bengtsson
, et al. (66 additional authors not shown)
Abstract:
Realizing the potential of quantum computing will require achieving sufficiently low logical error rates. Many applications call for error rates in the $10^{-15}$ regime, but state-of-the-art quantum platforms typically have physical error rates near $10^{-3}$. Quantum error correction (QEC) promises to bridge this divide by distributing quantum logical information across many physical qubits so t…
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Realizing the potential of quantum computing will require achieving sufficiently low logical error rates. Many applications call for error rates in the $10^{-15}$ regime, but state-of-the-art quantum platforms typically have physical error rates near $10^{-3}$. Quantum error correction (QEC) promises to bridge this divide by distributing quantum logical information across many physical qubits so that errors can be detected and corrected. Logical errors are then exponentially suppressed as the number of physical qubits grows, provided that the physical error rates are below a certain threshold. QEC also requires that the errors are local and that performance is maintained over many rounds of error correction, two major outstanding experimental challenges. Here, we implement 1D repetition codes embedded in a 2D grid of superconducting qubits which demonstrate exponential suppression of bit or phase-flip errors, reducing logical error per round by more than $100\times$ when increasing the number of qubits from 5 to 21. Crucially, this error suppression is stable over 50 rounds of error correction. We also introduce a method for analyzing error correlations with high precision, and characterize the locality of errors in a device performing QEC for the first time. Finally, we perform error detection using a small 2D surface code logical qubit on the same device, and show that the results from both 1D and 2D codes agree with numerical simulations using a simple depolarizing error model. These findings demonstrate that superconducting qubits are on a viable path towards fault tolerant quantum computing.
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Submitted 11 February, 2021;
originally announced February 2021.
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Removing leakage-induced correlated errors in superconducting quantum error correction
Authors:
M. McEwen,
D. Kafri,
Z. Chen,
J. Atalaya,
K. J. Satzinger,
C. Quintana,
P. V. Klimov,
D. Sank,
C. Gidney,
A. G. Fowler,
F. Arute,
K. Arya,
B. Buckley,
B. Burkett,
N. Bushnell,
B. Chiaro,
R. Collins,
S. Demura,
A. Dunsworth,
C. Erickson,
B. Foxen,
M. Giustina,
T. Huang,
S. Hong,
E. Jeffrey
, et al. (26 additional authors not shown)
Abstract:
Quantum computing can become scalable through error correction, but logical error rates only decrease with system size when physical errors are sufficiently uncorrelated. During computation, unused high energy levels of the qubits can become excited, creating leakage states that are long-lived and mobile. Particularly for superconducting transmon qubits, this leakage opens a path to errors that ar…
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Quantum computing can become scalable through error correction, but logical error rates only decrease with system size when physical errors are sufficiently uncorrelated. During computation, unused high energy levels of the qubits can become excited, creating leakage states that are long-lived and mobile. Particularly for superconducting transmon qubits, this leakage opens a path to errors that are correlated in space and time. Here, we report a reset protocol that returns a qubit to the ground state from all relevant higher level states. We test its performance with the bit-flip stabilizer code, a simplified version of the surface code for quantum error correction. We investigate the accumulation and dynamics of leakage during error correction. Using this protocol, we find lower rates of logical errors and an improved scaling and stability of error suppression with increasing qubit number. This demonstration provides a key step on the path towards scalable quantum computing.
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Submitted 11 February, 2021;
originally announced February 2021.
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Information Scrambling in Computationally Complex Quantum Circuits
Authors:
Xiao Mi,
Pedram Roushan,
Chris Quintana,
Salvatore Mandra,
Jeffrey Marshall,
Charles Neill,
Frank Arute,
Kunal Arya,
Juan Atalaya,
Ryan Babbush,
Joseph C. Bardin,
Rami Barends,
Andreas Bengtsson,
Sergio Boixo,
Alexandre Bourassa,
Michael Broughton,
Bob B. Buckley,
David A. Buell,
Brian Burkett,
Nicholas Bushnell,
Zijun Chen,
Benjamin Chiaro,
Roberto Collins,
William Courtney,
Sean Demura
, et al. (68 additional authors not shown)
Abstract:
Interaction in quantum systems can spread initially localized quantum information into the many degrees of freedom of the entire system. Understanding this process, known as quantum scrambling, is the key to resolving various conundrums in physics. Here, by measuring the time-dependent evolution and fluctuation of out-of-time-order correlators, we experimentally investigate the dynamics of quantum…
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Interaction in quantum systems can spread initially localized quantum information into the many degrees of freedom of the entire system. Understanding this process, known as quantum scrambling, is the key to resolving various conundrums in physics. Here, by measuring the time-dependent evolution and fluctuation of out-of-time-order correlators, we experimentally investigate the dynamics of quantum scrambling on a 53-qubit quantum processor. We engineer quantum circuits that distinguish the two mechanisms associated with quantum scrambling, operator spreading and operator entanglement, and experimentally observe their respective signatures. We show that while operator spreading is captured by an efficient classical model, operator entanglement requires exponentially scaled computational resources to simulate. These results open the path to studying complex and practically relevant physical observables with near-term quantum processors.
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Submitted 21 January, 2021;
originally announced January 2021.
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Real-time optimal quantum control of mechanical motion at room temperature
Authors:
Lorenzo Magrini,
Philipp Rosenzweig,
Constanze Bach,
Andreas Deutschmann-Olek,
Sebastian G. Hofer,
Sungkun Hong,
Nikolai Kiesel,
Andreas Kugi,
Markus Aspelmeyer
Abstract:
The ability to accurately control the dynamics of physical systems by measurement and feedback is a pillar of modern engineering. Today, the increasing demand for applied quantum technologies requires to adapt this level of control to individual quantum systems. Achieving this in an optimal way is a challenging task that relies on both quantum-limited measurements and specifically tailored algorit…
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The ability to accurately control the dynamics of physical systems by measurement and feedback is a pillar of modern engineering. Today, the increasing demand for applied quantum technologies requires to adapt this level of control to individual quantum systems. Achieving this in an optimal way is a challenging task that relies on both quantum-limited measurements and specifically tailored algorithms for state estimation and feedback. Successful implementations thus far include experiments on the level of optical and atomic systems. Here we demonstrate real-time optimal control of the quantum trajectory of an optically trapped nanoparticle. We combine confocal position sensing close to the Heisenberg limit with optimal state estimation via Kalman filtering to track the particle motion in phase space in real time with a position uncertainty of 1.3 times the zero point fluctuation. Optimal feedback allows us to stabilize the quantum harmonic oscillator to a mean occupation of $n=0.56\pm0.02$ quanta, realizing quantum ground state cooling from room temperature. Our work establishes quantum Kalman filtering as a method to achieve quantum control of mechanical motion, with potential implications for sensing on all scales. In combination with levitation, this paves the way to full-scale control over the wavepacket dynamics of solid-state macroscopic quantum objects in linear and nonlinear systems.
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Submitted 17 June, 2021; v1 submitted 30 December, 2020;
originally announced December 2020.
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Accurately computing electronic properties of a quantum ring
Authors:
C. Neill,
T. McCourt,
X. Mi,
Z. Jiang,
M. Y. Niu,
W. Mruczkiewicz,
I. Aleiner,
F. Arute,
K. Arya,
J. Atalaya,
R. Babbush,
J. C. Bardin,
R. Barends,
A. Bengtsson,
A. Bourassa,
M. Broughton,
B. B. Buckley,
D. A. Buell,
B. Burkett,
N. Bushnell,
J. Campero,
Z. Chen,
B. Chiaro,
R. Collins,
W. Courtney
, et al. (67 additional authors not shown)
Abstract:
A promising approach to study condensed-matter systems is to simulate them on an engineered quantum platform. However, achieving the accuracy needed to outperform classical methods has been an outstanding challenge. Here, using eighteen superconducting qubits, we provide an experimental blueprint for an accurate condensed-matter simulator and demonstrate how to probe fundamental electronic propert…
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A promising approach to study condensed-matter systems is to simulate them on an engineered quantum platform. However, achieving the accuracy needed to outperform classical methods has been an outstanding challenge. Here, using eighteen superconducting qubits, we provide an experimental blueprint for an accurate condensed-matter simulator and demonstrate how to probe fundamental electronic properties. We benchmark the underlying method by reconstructing the single-particle band-structure of a one-dimensional wire. We demonstrate nearly complete mitigation of decoherence and readout errors and arrive at an accuracy in measuring energy eigenvalues of this wire with an error of ~0.01 rad, whereas typical energy scales are of order 1 rad. Insight into this unprecedented algorithm fidelity is gained by highlighting robust properties of a Fourier transform, including the ability to resolve eigenenergies with a statistical uncertainty of 1e-4 rad. Furthermore, we synthesize magnetic flux and disordered local potentials, two key tenets of a condensed-matter system. When sweeping the magnetic flux, we observe avoided level crossings in the spectrum, a detailed fingerprint of the spatial distribution of local disorder. Combining these methods, we reconstruct electronic properties of the eigenstates where we observe persistent currents and a strong suppression of conductance with added disorder. Our work describes an accurate method for quantum simulation and paves the way to study novel quantum materials with superconducting qubits.
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Submitted 1 June, 2021; v1 submitted 1 December, 2020;
originally announced December 2020.
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Observation of separated dynamics of charge and spin in the Fermi-Hubbard model
Authors:
Frank Arute,
Kunal Arya,
Ryan Babbush,
Dave Bacon,
Joseph C. Bardin,
Rami Barends,
Andreas Bengtsson,
Sergio Boixo,
Michael Broughton,
Bob B. Buckley,
David A. Buell,
Brian Burkett,
Nicholas Bushnell,
Yu Chen,
Zijun Chen,
Yu-An Chen,
Ben Chiaro,
Roberto Collins,
Stephen J. Cotton,
William Courtney,
Sean Demura,
Alan Derk,
Andrew Dunsworth,
Daniel Eppens,
Thomas Eckl
, et al. (74 additional authors not shown)
Abstract:
Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these systems on quantum computers may avoid the prohibitively high computational cost incurred in classical approaches. However, systematic errors and decoherence effects presented in current quantum devices make it difficult to achieve this. Here, we simulate…
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Strongly correlated quantum systems give rise to many exotic physical phenomena, including high-temperature superconductivity. Simulating these systems on quantum computers may avoid the prohibitively high computational cost incurred in classical approaches. However, systematic errors and decoherence effects presented in current quantum devices make it difficult to achieve this. Here, we simulate the dynamics of the one-dimensional Fermi-Hubbard model using 16 qubits on a digital superconducting quantum processor. We observe separations in the spreading velocities of charge and spin densities in the highly excited regime, a regime that is beyond the conventional quasiparticle picture. To minimize systematic errors, we introduce an accurate gate calibration procedure that is fast enough to capture temporal drifts of the gate parameters. We also employ a sequence of error-mitigation techniques to reduce decoherence effects and residual systematic errors. These procedures allow us to simulate the time evolution of the model faithfully despite having over 600 two-qubit gates in our circuits. Our experiment charts a path to practical quantum simulation of strongly correlated phenomena using available quantum devices.
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Submitted 15 October, 2020;
originally announced October 2020.