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Intelligent Mode Sorting in Turbulence with Task-Dependent Optical Neural Networks
Authors:
Christopher R. Rawlings,
Mitchell A. Cox
Abstract:
The practical deployment of high-capacity free-space optical communication is fundamentally limited by atmospheric turbulence, a challenge that conventional mode-sorting techniques have failed to overcome. While engineered optical computers like diffractive networks offer a potential solution, their design complexity remains a significant barrier. Here, we introduce and experimentally validate a m…
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The practical deployment of high-capacity free-space optical communication is fundamentally limited by atmospheric turbulence, a challenge that conventional mode-sorting techniques have failed to overcome. While engineered optical computers like diffractive networks offer a potential solution, their design complexity remains a significant barrier. Here, we introduce and experimentally validate a methodology for task-dependent hardware design, demonstrating a simple, continuous-wave-driven multimode fibre reservoir that is physically configured to solve this specific, high-impact problem. We first establish a set of physical design principles, showing that recurrent dynamics are optimal for structural data (MNIST), whereas high mode-mixing is superior for textural data (FMNIST). By treating turbulence-induced wavefront distortion as a complex textural feature, we configure a physically optimised reservoir for classifying orbital angular momentum (OAM) modes. In moderate to high-turbulence regimes, our system outperforms an ideal modal decomposition by an average of 20.32~$\pm$~3.00\%, succeeding precisely where the conventional approach fails. This work not only demonstrates a practical, low-complexity solution for turbulence mitigation but also reframes the optical receiver as a physical likelihood processor, thereby offering a path towards significantly reduced digital signal processing burdens by offloading much of the computational load to the physical optical front-end. We establish a framework for co-designing physical hardware with computation, enabling simpler, more robust optical machine learning systems tailored for real-world challenges.
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Submitted 25 September, 2025;
originally announced September 2025.
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Neural Network Model for OAM Crosstalk due to Turbulence-Induced Tilt and Lateral Displacement
Authors:
Mitchell A. Cox,
Steven G. Makoni,
Ling Cheng
Abstract:
Accurately modelling orbital angular momentum (OAM) mode crosstalk in turbulent environments is challenging yet essential for developing free-space optical systems that employ OAM modes for multiplexing or diversity. Turbulence induces tip/tilt aberrations and lateral displacement, which significantly degrade system performance. Existing analytical models describe the transformation from an input…
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Accurately modelling orbital angular momentum (OAM) mode crosstalk in turbulent environments is challenging yet essential for developing free-space optical systems that employ OAM modes for multiplexing or diversity. Turbulence induces tip/tilt aberrations and lateral displacement, which significantly degrade system performance. Existing analytical models describe the transformation from an input Gaussian mode to an output OAM spectrum; however, our feed forward neural network model generalizes this approach by accounting for the effects of these aberrations on arbitrary input OAM modes. We validate the model experimentally by estimating turbulence-induced tilt and lateral displacement using a dual-camera setup and comparing the estimated spectrum with the actual modal decomposition. With a typical root mean square error of less than 11%, our results indicate that the model could serve as a reliable source of meta-information for digital signal processing, soft-decision forward error correction or perhaps dynamic mode hopping in future systems.
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Submitted 3 September, 2025;
originally announced September 2025.
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High-Fidelity Prediction of Perturbed Optical Fields using Fourier Feature Networks
Authors:
Joshua R. Jandrell,
Mitchell A. Cox
Abstract:
Predicting the effects of physical perturbations on optical channels is critical for advanced photonic devices, but existing modelling techniques are often computationally intensive or require exhaustive characterisation. We present a novel data-efficient machine learning framework that learns the perturbation-dependent transmission matrix of a multimode fibre. To overcome the challenge of modelli…
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Predicting the effects of physical perturbations on optical channels is critical for advanced photonic devices, but existing modelling techniques are often computationally intensive or require exhaustive characterisation. We present a novel data-efficient machine learning framework that learns the perturbation-dependent transmission matrix of a multimode fibre. To overcome the challenge of modelling the resulting highly oscillatory functions, we encode the perturbation into a Fourier Feature basis, enabling a compact multi-layer perceptron to learn the mapping with high fidelity. On experimental data from a compressed fibre, our model predicts the output field with a 0.995 complex correlation to the ground truth, improving accuracy by an order of magnitude over standard networks while using 85\% fewer parameters. This approach provides a general tool for modelling complex optical systems from sparse measurements.
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Submitted 2 September, 2025; v1 submitted 27 August, 2025;
originally announced August 2025.
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Hermite-Laguerre-Gaussian Vector Modes
Authors:
Edgar Medina-Segura,
Leonardo Miranda-Culin,
Benjamin Perez-García,
Carmelo Rosales-Guzmán,
Mitchell A. Cox
Abstract:
Vector modes are well-defined field distributions with spatially varying polarisation states, rendering them irreducible to the product of a single spatial mode and a single polarisation state. Traditionally, the spatial degree of freedom of vector modes is constructed using two orthogonal modes from the same family. In this letter, we introduce a novel class of vector modes whose spatial degree o…
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Vector modes are well-defined field distributions with spatially varying polarisation states, rendering them irreducible to the product of a single spatial mode and a single polarisation state. Traditionally, the spatial degree of freedom of vector modes is constructed using two orthogonal modes from the same family. In this letter, we introduce a novel class of vector modes whose spatial degree of freedom is encoded by combining modes from both the Hermite- and Laguerre-Gaussian families. This particular superposition is not arbitrary, and we provide a detailed explanation of the methodology employed to achieve it. Notably, this new class of vector modes, which we term Hybrid Hermite-Laguerre-Gaussian (HHLG) vector modes, gives rise to subsets of modes exhibiting polarisation dependence on propagation due to the difference in mode orders between the constituent Hermite- and Laguerre-Gaussian modes. To the best of our knowledge, this is the first demonstration of vector modes composed of two scalar modes originating from different families. We anticipate diverse applications for HHLG vector modes in fields such as free-space communications, information encryption, optical metrology, and beyond.
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Submitted 13 May, 2024;
originally announced May 2024.
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Event-by-Event Direction Reconstruction of Solar Neutrinos in a High Light-Yield Liquid Scintillator
Authors:
A. Allega,
M. R. Anderson,
S. Andringa,
J. Antunes,
M. Askins,
D. J. Auty,
A. Bacon,
J. Baker,
N. Barros,
F. Barão,
R. Bayes,
E. W. Beier,
T. S. Bezerra,
A. Bialek,
S. D. Biller,
E. Blucher,
E. Caden,
E. J. Callaghan,
M. Chen,
S. Cheng,
B. Cleveland,
D. Cookman,
J. Corning,
M. A. Cox,
R. Dehghani
, et al. (94 additional authors not shown)
Abstract:
The direction of individual $^8$B solar neutrinos has been reconstructed using the SNO+ liquid scintillator detector. Prompt, directional Cherenkov light was separated from the slower, isotropic scintillation light using time information, and a maximum likelihood method was used to reconstruct the direction of individual scattered electrons. A clear directional signal was observed, correlated with…
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The direction of individual $^8$B solar neutrinos has been reconstructed using the SNO+ liquid scintillator detector. Prompt, directional Cherenkov light was separated from the slower, isotropic scintillation light using time information, and a maximum likelihood method was used to reconstruct the direction of individual scattered electrons. A clear directional signal was observed, correlated with the solar angle. The observation was aided by a period of low primary fluor concentration that resulted in a slower scintillator decay time. This is the first time that event-by-event direction reconstruction in high light-yield liquid scintillator has been demonstrated in a large-scale detector.
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Submitted 10 April, 2024; v1 submitted 12 September, 2023;
originally announced September 2023.
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Real-time stokes polarimetry based on a polarisation camera
Authors:
Mitchell A. Cox,
Carmelo Rosales Guzmán
Abstract:
This lab note introduces the "Stokes Camera," a simple and novel experimental arrangement for real-time measurement of spatial amplitude and polarisation and thus spatially resolved Stokes parameters. It uses a polarisation sensitive camera and a fixed quarter-wave plate, providing a one-shot, digital solution for polarisation measurement that is only limited by the frame rate of the camera and th…
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This lab note introduces the "Stokes Camera," a simple and novel experimental arrangement for real-time measurement of spatial amplitude and polarisation and thus spatially resolved Stokes parameters. It uses a polarisation sensitive camera and a fixed quarter-wave plate, providing a one-shot, digital solution for polarisation measurement that is only limited by the frame rate of the camera and the computation speed of the provided code. The note also provides background information on relevant polarisation theory and vector vortex beams, which are used as a demonstration of the device.
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Submitted 29 August, 2023;
originally announced August 2023.
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Quantum transport of high-dimensional spatial information with a nonlinear detector
Authors:
Bereneice Sephton,
Adam Vallés,
Isaac Nape,
Mitchell A. Cox,
Fabian Steinlechner,
Thomas Konrad,
Juan P. Torres,
Filippus S. Roux,
Andrew Forbes
Abstract:
Information exchange between two distant parties, where information is shared without physically transporting it, is a crucial resource in future quantum networks. Doing so with high-dimensional states offers the promise of higher information capacity and improved resilience to noise, but progress to date has been limited. Here we demonstrate how a nonlinear parametric process allows for arbitrary…
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Information exchange between two distant parties, where information is shared without physically transporting it, is a crucial resource in future quantum networks. Doing so with high-dimensional states offers the promise of higher information capacity and improved resilience to noise, but progress to date has been limited. Here we demonstrate how a nonlinear parametric process allows for arbitrary high-dimensional state projections in the spatial degree of freedom, where a strong coherent field enhances the probability of the process. This allows us to experimentally realise quantum transport of high-dimensional spatial information facilitated by a quantum channel with a single entangled pair and a nonlinear spatial mode detector. Using sum frequency generation we upconvert one of the photons from an entangled pair resulting in high-dimensional spatial information transported to the other. We realise a d=15 quantum channel for arbitrary photonic spatial modes which we demonstrate by faithfully transferring information encoded into orbital angular momentum, Hermite-Gaussian and arbitrary spatial mode superpositions, without requiring knowledge of the state to be sent. Our demonstration merges the nascent fields of nonlinear control of structured light with quantum processes, offering a new approach to harnessing high-dimensional quantum states, and may be extended to other degrees of freedom too.
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Submitted 19 December, 2023; v1 submitted 26 November, 2021;
originally announced November 2021.
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Optical calibration of the SNO+ detector in the water phase with deployed sources
Authors:
SNO+ Collaboration,
:,
M. R. Anderson,
S. Andringa,
M. Askins,
D. J. Auty,
F. Barão,
N. Barros,
R. Bayes,
E. W. Beier,
A. Bialek,
S. D. Biller,
E. Blucher,
M. Boulay,
E. Caden,
E. J. Callaghan,
J. Caravaca,
M. Chen,
O. Chkvorets,
B. Cleveland,
D. Cookman,
J. Corning,
M. A. Cox,
C. Deluce,
M. M. Depatie
, et al. (98 additional authors not shown)
Abstract:
SNO+ is a large-scale liquid scintillator experiment with the primary goal of searching for neutrinoless double beta decay, and is located approximately 2 km underground in SNOLAB, Sudbury, Canada. The detector acquired data for two years as a pure water Cherenkov detector, starting in May 2017. During this period, the optical properties of the detector were measured in situ using a deployed light…
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SNO+ is a large-scale liquid scintillator experiment with the primary goal of searching for neutrinoless double beta decay, and is located approximately 2 km underground in SNOLAB, Sudbury, Canada. The detector acquired data for two years as a pure water Cherenkov detector, starting in May 2017. During this period, the optical properties of the detector were measured in situ using a deployed light diffusing sphere, with the goal of improving the detector model and the energy response systematic uncertainties. The measured parameters included the water attenuation coefficients, effective attenuation coefficients for the acrylic vessel, and the angular response of the photomultiplier tubes and their surrounding light concentrators, all across different wavelengths. The calibrated detector model was validated using a deployed tagged gamma source, which showed a 0.6% variation in energy scale across the primary target volume.
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Submitted 4 October, 2021; v1 submitted 7 June, 2021;
originally announced June 2021.
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The SNO+ Experiment
Authors:
SNO+ Collaboration,
:,
V. Albanese,
R. Alves,
M. R. Anderson,
S. Andringa,
L. Anselmo,
E. Arushanova,
S. Asahi,
M. Askins,
D. J. Auty,
A. R. Back,
S. Back,
F. Barão,
Z. Barnard,
A. Barr,
N. Barros,
D. Bartlett,
R. Bayes,
C. Beaudoin,
E. W. Beier,
G. Berardi,
A. Bialek,
S. D. Biller,
E. Blucher
, et al. (229 additional authors not shown)
Abstract:
The SNO+ experiment is located 2 km underground at SNOLAB in Sudbury, Canada. A low background search for neutrinoless double beta ($0νββ$) decay will be conducted using 780 tonnes of liquid scintillator loaded with 3.9 tonnes of natural tellurium, corresponding to 1.3 tonnes of $^{130}$Te. This paper provides a general overview of the SNO+ experiment, including detector design, construction of pr…
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The SNO+ experiment is located 2 km underground at SNOLAB in Sudbury, Canada. A low background search for neutrinoless double beta ($0νββ$) decay will be conducted using 780 tonnes of liquid scintillator loaded with 3.9 tonnes of natural tellurium, corresponding to 1.3 tonnes of $^{130}$Te. This paper provides a general overview of the SNO+ experiment, including detector design, construction of process plants, commissioning efforts, electronics upgrades, data acquisition systems, and calibration techniques. The SNO+ collaboration is reusing the acrylic vessel, PMT array, and electronics of the SNO detector, having made a number of experimental upgrades and essential adaptations for use with the liquid scintillator. With low backgrounds and a low energy threshold, the SNO+ collaboration will also pursue a rich physics program beyond the search for $0νββ$ decay, including studies of geo- and reactor antineutrinos, supernova and solar neutrinos, and exotic physics such as the search for invisible nucleon decay. The SNO+ approach to the search for $0νββ$ decay is scalable: a future phase with high $^{130}$Te-loading is envisioned to probe an effective Majorana mass in the inverted mass ordering region.
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Submitted 25 August, 2021; v1 submitted 23 April, 2021;
originally announced April 2021.
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Development, characterisation, and deployment of the SNO+ liquid scintillator
Authors:
SNO+ Collaboration,
:,
M. R. Anderson,
S. Andringa,
L. Anselmo,
E. Arushanova,
S. Asahi,
M. Askins,
D. J. Auty,
A. R. Back,
Z. Barnard,
N. Barros,
D. Bartlett,
F. Barão,
R. Bayes,
E. W. Beier,
A. Bialek,
S. D. Biller,
E. Blucher,
R. Bonventre,
M. Boulay,
D. Braid,
E. Caden,
E. J. Callaghan,
J. Caravaca
, et al. (201 additional authors not shown)
Abstract:
A liquid scintillator consisting of linear alkylbenzene as the solvent and 2,5-diphenyloxazole as the fluor was developed for the SNO+ experiment. This mixture was chosen as it is compatible with acrylic and has a competitive light yield to pre-existing liquid scintillators while conferring other advantages including longer attenuation lengths, superior safety characteristics, chemical simplicity,…
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A liquid scintillator consisting of linear alkylbenzene as the solvent and 2,5-diphenyloxazole as the fluor was developed for the SNO+ experiment. This mixture was chosen as it is compatible with acrylic and has a competitive light yield to pre-existing liquid scintillators while conferring other advantages including longer attenuation lengths, superior safety characteristics, chemical simplicity, ease of handling, and logistical availability. Its properties have been extensively characterized and are presented here. This liquid scintillator is now used in several neutrino physics experiments in addition to SNO+.
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Submitted 21 February, 2021; v1 submitted 25 November, 2020;
originally announced November 2020.
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Structured Light in Turbulence
Authors:
Mitchell A. Cox,
Nokwazi Mphuthi,
Isaac Nape,
Nikiwe P. Mashaba,
Ling Cheng,
Andrew Forbes
Abstract:
Optical communication is an integral part of the modern economy, having all but replaced electronic communication systems. Future growth in bandwidth appears to be on the horizon using structured light, encoding information into the spatial modes of light, and transmitting them down fibre and free-space, the latter crucial for addressing last mile and digitally disconnected communities. Unfortunat…
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Optical communication is an integral part of the modern economy, having all but replaced electronic communication systems. Future growth in bandwidth appears to be on the horizon using structured light, encoding information into the spatial modes of light, and transmitting them down fibre and free-space, the latter crucial for addressing last mile and digitally disconnected communities. Unfortunately, patterns of light are easily distorted, and in the case of free-space optical communication, turbulence is a significant barrier. Here we review recent progress in structured light in turbulence, first with a tutorial style summary of the core concepts, before highlighting the present state-of-the-art in the field. We support our review with new experimental studies that reveal which types of structured light are best in turbulence, the behaviour of vector versus scalar light in turbulence, the trade-off of diversity and multiplexing, and how turbulence models can be exploited for enhanced optical signal processing protocols. This comprehensive treatise will be invaluable to the large communities interested in free-space optical communication with spatial modes of light.
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Submitted 29 May, 2020;
originally announced May 2020.
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Measurement of neutron-proton capture in the SNO+ water phase
Authors:
The SNO+ Collaboration,
:,
M. R. Anderson,
S. Andringa,
M. Askins,
D. J. Auty,
N. Barros,
F. Barão,
R. Bayes,
E. W. Beier,
A. Bialek,
S. D. Biller,
E. Blucher,
R. Bonventre,
M. Boulay,
E. Caden,
E. J. Callaghan,
J. Caravaca,
D. Chauhan,
M. Chen,
O. Chkvorets,
B. Cleveland,
M. A. Cox,
M. M. Depatie,
J. Dittmer
, et al. (108 additional authors not shown)
Abstract:
The SNO+ experiment collected data as a low-threshold water Cherenkov detector from September 2017 to July 2019. Measurements of the 2.2-MeV $γ$ produced by neutron capture on hydrogen have been made using an Am-Be calibration source, for which a large fraction of emitted neutrons are produced simultaneously with a 4.4-MeV $γ$. Analysis of the delayed coincidence between the 4.4-MeV $γ$ and the 2.…
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The SNO+ experiment collected data as a low-threshold water Cherenkov detector from September 2017 to July 2019. Measurements of the 2.2-MeV $γ$ produced by neutron capture on hydrogen have been made using an Am-Be calibration source, for which a large fraction of emitted neutrons are produced simultaneously with a 4.4-MeV $γ$. Analysis of the delayed coincidence between the 4.4-MeV $γ$ and the 2.2-MeV capture $γ$ revealed a neutron detection efficiency that is centered around 50% and varies at the level of 1% across the inner region of the detector, which to our knowledge is the highest efficiency achieved among pure water Cherenkov detectors. In addition, the neutron capture time constant was measured and converted to a thermal neutron-proton capture cross section of $336.3^{+1.2}_{-1.5}$ mb.
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Submitted 13 July, 2020; v1 submitted 24 February, 2020;
originally announced February 2020.
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Modelling the Memory of Turbulence-Induced Beam Wander
Authors:
Mitchell A. Cox,
Lucas Gailele,
Ling Cheng,
Andrew Forbes
Abstract:
One of the major challenges for long range, high speed Free-Space Optical (FSO) communication is turbulence induced beam wander. Beam wander causes fluctuations in the received intensity as well as crosstalk in mode division multiplexed systems. Existing models for beam wander make use of probability distributions and long term averages and are not able to accurately model time-dependent intensity…
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One of the major challenges for long range, high speed Free-Space Optical (FSO) communication is turbulence induced beam wander. Beam wander causes fluctuations in the received intensity as well as crosstalk in mode division multiplexed systems. Existing models for beam wander make use of probability distributions and long term averages and are not able to accurately model time-dependent intensity fluctuations such as deep fading, where the received intensity is too low to maintain reliable communication for an extended period of time. In this work we present an elegant new memory model which models the behaviour of beam wander induced intensity fluctuations with the unique capability to accurately simulate deep fading. This is invaluable for the development of optimised error correction coding and digital signal processing in order to improve the throughput and reliability of FSO systems.
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Submitted 22 July, 2019;
originally announced July 2019.
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The Resilience of Hermite- and Laguerre-Gaussian Modes in Turbulence
Authors:
Mitchell A. Cox,
Luthando Maqondo,
Ravin Kara,
Giovanni Milione,
Ling Cheng,
Andrew Forbes
Abstract:
Vast geographical distances in Africa are a leading cause for the so-called "digital divide" due to the high cost of installing fibre. Free-Space Optical (FSO) communications offer a convenient and higher bandwidth alternative to point-to-point radio microwave links, with the possibility of re-purposing existing infrastructure. Unfortunately, the range of high bandwidth FSO remains limited. While…
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Vast geographical distances in Africa are a leading cause for the so-called "digital divide" due to the high cost of installing fibre. Free-Space Optical (FSO) communications offer a convenient and higher bandwidth alternative to point-to-point radio microwave links, with the possibility of re-purposing existing infrastructure. Unfortunately, the range of high bandwidth FSO remains limited. While there has been extensive research into an optimal mode set for FSO to achieve maximum data throughput by mode division multiplexing, there has been relatively little work investigating optical modes to improve the resilience of FSO links. Here we experimentally show that a carefully chosen subset of Hermite-Gaussian modes is more resilient to atmospheric turbulence than similar Laguerre-Gauss beams, theoretically resulting in a 167% theoretical increase of propagation distance at a mode dependent loss of 50%.
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Submitted 22 January, 2019;
originally announced January 2019.
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A high-speed, wavelength invariant, single-pixel wavefront sensor with a digital micromirror device
Authors:
Mitchell A. Cox,
Ermes Toninelli,
Ling Cheng,
Miles Padgett,
Andrew Forbes
Abstract:
The wavefront measurement of a light beam is a complex task, which often requires a series of spatially resolved intensity measurements. For instance, a detector array may be used to measure the local phase gradient in the transverse plane of the unknown laser beam. In most cases the resolution of the reconstructed wavefront is determined by the resolution of the detector, which in the infrared ca…
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The wavefront measurement of a light beam is a complex task, which often requires a series of spatially resolved intensity measurements. For instance, a detector array may be used to measure the local phase gradient in the transverse plane of the unknown laser beam. In most cases the resolution of the reconstructed wavefront is determined by the resolution of the detector, which in the infrared case is severely limited. Here we employ a Digital Micro-mirror Device (DMD) and a single-pixel detector (i.e. with no spatial resolution) to demonstrate the reconstruction of unknown wavefronts with excellent resolution. Our approach exploits modal decomposition of the incoming field by the DMD, enabling wavefront measurements at 4~kHz of both visible and infrared laser beams.
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Submitted 22 January, 2019;
originally announced January 2019.
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Spatial Mode Diversity for Robust Free-Space Optical Communications
Authors:
Mitchell A. Cox,
Carmelo Rosales-Guzmán,
Ling Cheng,
Andrew Forbes
Abstract:
Free-space communication links are severely affected by atmospheric turbulence, which causes degradation in the transmitted signal. One of the most common solutions to overcome this is to exploit diversity. In this approach, information is sent in parallel using two or more transmitters that are spatially separated, with each beam therefore experiencing different atmospheric turbulence, lowering t…
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Free-space communication links are severely affected by atmospheric turbulence, which causes degradation in the transmitted signal. One of the most common solutions to overcome this is to exploit diversity. In this approach, information is sent in parallel using two or more transmitters that are spatially separated, with each beam therefore experiencing different atmospheric turbulence, lowering the probability of a receive error. In this work we propose and experimentally demonstrate a generalization of diversity based on spatial modes of light, which we have termed $\textit{modal diversity}$. We remove the need for a physical separation of the transmitters by exploiting the fact that spatial modes of light experience different perturbations, even when travelling along the same path. For this proof-of-principle we selected modes from the Hermite-Gaussian and Laguerre-Gaussian basis sets and demonstrate an improvement in Bit Error Rate by up to 54\%. We outline that modal diversity enables physically compact and longer distance free space optical links without increasing the total transmit power.
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Submitted 15 November, 2017;
originally announced November 2017.
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Creation and characterization of vector vortex modes for classical and quantum communication
Authors:
Bienvenu Ndagano,
Isaac Nape,
Mitchell A. Cox,
Carmelo Rosales-Guzman,
Andrew Forbes
Abstract:
Vector vortex beams are structured states of light that are non-separable in their polarisation and spatial mode, they are eigenmodes of free-space and many fibre systems, and have the capacity to be used as a modal basis for both classical and quantum communication. Here we outline recent progress in our understanding of these modes, from their creation to their characterization and detection. We…
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Vector vortex beams are structured states of light that are non-separable in their polarisation and spatial mode, they are eigenmodes of free-space and many fibre systems, and have the capacity to be used as a modal basis for both classical and quantum communication. Here we outline recent progress in our understanding of these modes, from their creation to their characterization and detection. We then use these tools to study the propagation behaviour of such modes in free-space and optical fibre and show that modal cross-talk results in a decay of vector states into separable scalar modes, with a concomitant loss of information. We present a comparison between probabilistic and deterministic detection schemes showing that the former, while ubiquitous, negates the very benefit of increased dimensionality in quantum communication while reducing signal in classical communication links. This work provides a useful introduction to the field as well as presenting new findings and perspectives to advance it further.
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Submitted 3 September, 2017;
originally announced September 2017.
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On the Resilience of Scalar and Vector Vortex Modes in Turbulence
Authors:
Mitchell A. Cox,
Carmelo Rosales-Guzmán,
Martin P. J. Lavery,
Daniel J. Versfeld,
Andrew Forbes
Abstract:
Free-space optical communication with spatial modes of light has become topical due to the possibility of dramatically increasing communication bandwidth via Mode Division Multiplexing (MDM). While both scalar and vector vortex modes have been used as transmission bases, it has been suggested that the latter is more robust in turbulence. Using orbital angular momentum as an example, we demonstrate…
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Free-space optical communication with spatial modes of light has become topical due to the possibility of dramatically increasing communication bandwidth via Mode Division Multiplexing (MDM). While both scalar and vector vortex modes have been used as transmission bases, it has been suggested that the latter is more robust in turbulence. Using orbital angular momentum as an example, we demonstrate theoretically and experimentally that the crosstalk due to turbulence is the same in the scalar and vector basis sets of such modes. This work brings new insights about the behaviour of vector and scalar modes in turbulence, but more importantly it demonstrates that when considering optimal modes for MDM, the choice should not necessarily be based on their vectorial nature.
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Submitted 14 June, 2016;
originally announced June 2016.