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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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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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Computational Techniques for the Analysis of Small Signals in High-Statistics Neutrino Oscillation Experiments
Authors:
IceCube Collaboration,
M. G. Aartsen,
M. Ackermann,
J. Adams,
J. A. Aguilar,
M. Ahlers,
M. Ahrens,
I. Al Samarai,
D. Altmann,
K. Andeen,
T. Anderson,
I. Ansseau,
G. Anton,
C. Argüelles,
T. C. Arlen,
J. Auffenberg,
S. Axani,
H. Bagherpour,
X. Bai,
A. Balagopal V.,
J. P. Barron,
I. Bartos,
S. W. Barwick,
V. Baum,
R. Bay
, et al. (347 additional authors not shown)
Abstract:
The current and upcoming generation of Very Large Volume Neutrino Telescopes---collecting unprecedented quantities of neutrino events---can be used to explore subtle effects in oscillation physics, such as (but not restricted to) the neutrino mass ordering. The sensitivity of an experiment to these effects can be estimated from Monte Carlo simulations. With the high number of events that will be c…
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The current and upcoming generation of Very Large Volume Neutrino Telescopes---collecting unprecedented quantities of neutrino events---can be used to explore subtle effects in oscillation physics, such as (but not restricted to) the neutrino mass ordering. The sensitivity of an experiment to these effects can be estimated from Monte Carlo simulations. With the high number of events that will be collected, there is a trade-off between the computational expense of running such simulations and the inherent statistical uncertainty in the determined values. In such a scenario, it becomes impractical to produce and use adequately-sized sets of simulated events with traditional methods, such as Monte Carlo weighting. In this work we present a staged approach to the generation of binned event distributions in order to overcome these challenges. By combining multiple integration and smoothing techniques which address limited statistics from simulation it arrives at reliable analysis results using modest computational resources.
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Submitted 4 December, 2019; v1 submitted 14 March, 2018;
originally announced March 2018.
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The IceCube Neutrino Observatory: Instrumentation and Online Systems
Authors:
IceCube Collaboration,
M. G. Aartsen,
M. Ackermann,
J. Adams,
J. A. Aguilar,
M. Ahlers,
M. Ahrens,
D. Altmann,
K. Andeen,
T. Anderson,
I. Ansseau,
G. Anton,
M. Archinger,
C. Argüelles,
R. Auer,
J. Auffenberg,
S. Axani,
J. Baccus,
X. Bai,
S. Barnet,
S. W. Barwick,
V. Baum,
R. Bay,
K. Beattie,
J. J. Beatty
, et al. (328 additional authors not shown)
Abstract:
The IceCube Neutrino Observatory is a cubic-kilometer-scale high-energy neutrino detector built into the ice at the South Pole. Construction of IceCube, the largest neutrino detector built to date, was completed in 2011 and enabled the discovery of high-energy astrophysical neutrinos. We describe here the design, production, and calibration of the IceCube digital optical module (DOM), the cable sy…
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The IceCube Neutrino Observatory is a cubic-kilometer-scale high-energy neutrino detector built into the ice at the South Pole. Construction of IceCube, the largest neutrino detector built to date, was completed in 2011 and enabled the discovery of high-energy astrophysical neutrinos. We describe here the design, production, and calibration of the IceCube digital optical module (DOM), the cable systems, computing hardware, and our methodology for drilling and deployment. We also describe the online triggering and data filtering systems that select candidate neutrino and cosmic ray events for analysis. Due to a rigorous pre-deployment protocol, 98.4% of the DOMs in the deep ice are operating and collecting data. IceCube routinely achieves a detector uptime of 99% by emphasizing software stability and monitoring. Detector operations have been stable since construction was completed, and the detector is expected to operate at least until the end of the next decade.
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Submitted 6 February, 2024; v1 submitted 15 December, 2016;
originally announced December 2016.
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Very High-Energy Gamma-Ray Follow-Up Program Using Neutrino Triggers from IceCube
Authors:
IceCube Collaboration,
M. G. Aartsen,
K. Abraham,
M. Ackermann,
J. Adams,
J. A. Aguilar,
M. Ahlers,
M. Ahrens,
D. Altmann,
K. Andeen,
T. Anderson,
I. Ansseau,
G. Anton,
M. Archinger,
C. Arguelles,
J. Auffenberg,
S. Axani,
X. Bai,
S. W. Barwick,
V. Baum,
R. Bay,
J. J. Beatty,
J. Becker-Tjus,
K. -H. Becker,
S. BenZvi
, et al. (519 additional authors not shown)
Abstract:
We describe and report the status of a neutrino-triggered program in IceCube that generates real-time alerts for gamma-ray follow-up observations by atmospheric-Cherenkov telescopes (MAGIC and VERITAS). While IceCube is capable of monitoring the whole sky continuously, high-energy gamma-ray telescopes have restricted fields of view and in general are unlikely to be observing a potential neutrino-f…
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We describe and report the status of a neutrino-triggered program in IceCube that generates real-time alerts for gamma-ray follow-up observations by atmospheric-Cherenkov telescopes (MAGIC and VERITAS). While IceCube is capable of monitoring the whole sky continuously, high-energy gamma-ray telescopes have restricted fields of view and in general are unlikely to be observing a potential neutrino-flaring source at the time such neutrinos are recorded. The use of neutrino-triggered alerts thus aims at increasing the availability of simultaneous multi-messenger data during potential neutrino flaring activity, which can increase the discovery potential and constrain the phenomenological interpretation of the high-energy emission of selected source classes (e.g. blazars). The requirements of a fast and stable online analysis of potential neutrino signals and its operation are presented, along with first results of the program operating between 14 March 2012 and 31 December 2015.
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Submitted 12 November, 2016; v1 submitted 6 October, 2016;
originally announced October 2016.