Performance of real-time adaptive optics compensation in a turbulent channel with high-dimensional spatial-mode encoding

• URL: http://arxiv.org/abs/2002.08884v1
• Date: Fri, 14 Feb 2020 17:58:00 GMT
• Title: Performance of real-time adaptive optics compensation in a turbulent channel with high-dimensional spatial-mode encoding
• Authors: Jiapeng Zhao, Yiyu Zhou, Boris Braverman, Cong Liu, Kai Pang, Nicholas K. Steinhoff, Glenn A. Tyler, Alan E. Willner, and Robert W. Boyd
• Abstract summary: We investigate the performance of OAM QKD in real atmospheric turbulence with real-time adaptive optics (AO) correction. Even our AO system provides a limited correction, it is possible to mitigate the errors induced by weak turbulence and establish a secure channel.
• Score: 3.5744562056015052
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The orbital angular momentum (OAM) of photons is a promising degree of freedom for high-dimensional quantum key distribution (QKD). However, effectively mitigating the adverse effects of atmospheric turbulence is a persistent challenge in OAM QKD systems operating over free-space communication channels. In contrast to previous works focusing on correcting static simulated turbulence, we investigate the performance of OAM QKD in real atmospheric turbulence with real-time adaptive optics (AO) correction. We show that, even our AO system provides a limited correction, it is possible to mitigate the errors induced by weak turbulence and establish a secure channel. The crosstalk induced by turbulence and the performance of AO systems is investigated in two configurations: a lab-scale link with controllable turbulence, and a 340 m long cross-campus link with dynamic atmospheric turbulence. Our experimental results suggest that an advanced AO system with fine beam tracking, reliable beam stabilization, precise wavefront sensing, and accurate wavefront correction is necessary to adequately correct turbulence-induced error. We also propose and demonstrate different solutions to improve the performance of OAM QKD with turbulence, which could enable the possibility of OAM encoding in strong turbulence.

Related papers

• Single-Shot Phase Diversity Wavefront Sensing in Deep Turbulence via Metasurface Optics [0.0]
  Free-space optical communication (FSOC) systems offer high-bandwidth and secure communication with minimal capital costs. Traditional Adaptive optics (AO) are typically added to these systems to decrease atmospheric channel losses. Alternative wavefront sensors using phase diversity can successfully reconstruct wavefronts in deep turbulence. We employ a nanostructured birefringent metasurface optic that enables low-latency phase diversity wavefront sensing in a compact form factor.
  arXiv  Detail & Related papers  (2024-10-24T14:43:00Z)
• Fast Adaptive Optics for High-Dimensional Quantum Communications in Turbulent Channels [0.0]
  Quantum Key Distribution (QKD) promises a provably secure method to transmit information from one party to another. Free-space QKD allows for this information to be sent over great distances and in places where fibre-based communications cannot be implemented, such as ground-satellite. The primary limiting factor for free-space links is the effect of atmospheric turbulence, which can result in significant error rates and increased losses in QKD channels. Here, we employ the use of a high-speed Adaptive Optics (AO) system to make real-time corrections to the wavefront distortions on spatial modes that are used for
  arXiv  Detail & Related papers  (2023-11-21T23:05:11Z)
• Spectrum Breathing: Protecting Over-the-Air Federated Learning Against Interference [101.9031141868695]
  Mobile networks can be compromised by interference from neighboring cells or jammers. We propose Spectrum Breathing, which cascades-gradient pruning and spread spectrum to suppress interference without bandwidth expansion. We show a performance tradeoff between gradient-pruning and interference-induced error as regulated by the breathing depth.
  arXiv  Detail & Related papers  (2023-05-10T07:05:43Z)
• AT-DDPM: Restoring Faces degraded by Atmospheric Turbulence using Denoising Diffusion Probabilistic Models [64.24948495708337]
  Atmospheric turbulence causes significant degradation to image quality by introducing blur and geometric distortion. Various deep learning-based single image atmospheric turbulence mitigation methods, including CNN-based and GAN inversion-based, have been proposed. Denoising Diffusion Probabilistic Models (DDPMs) have recently gained some traction because of their stable training process and their ability to generate high quality images.
  arXiv  Detail & Related papers  (2022-08-24T03:13:04Z)
• Single Frame Atmospheric Turbulence Mitigation: A Benchmark Study and A New Physics-Inspired Transformer Model [82.23276183684001]
  We propose a physics-inspired transformer model for imaging through atmospheric turbulence. The proposed network utilizes the power of transformer blocks to jointly extract a dynamical turbulence distortion map. We present two new real-world turbulence datasets that allow for evaluation with both classical objective metrics and a new task-driven metric using text recognition accuracy.
  arXiv  Detail & Related papers  (2022-07-20T17:09:16Z)
• Analysis of satellite-to-ground quantum key distribution with adaptive optics [0.0]
  Future quantum communication infrastructures will rely on both terrestrial and space-based links. We study the role of adaptive optics (AO) in this optimization.
  arXiv  Detail & Related papers  (2021-11-12T14:47:23Z)
• Optimal design and performance evaluation of free-space Quantum Key Distribution systems [0.0]
  We present a model of the performance of a free-space ground-to-ground quantum key distribution (QKD) system based on the efficient-BB84 protocol with active decoy states. We find that the channel fluctuation statistics must be considered to correctly estimate the effect of the saturation rate of the single-photon detectors.
  arXiv  Detail & Related papers  (2021-09-28T17:28:31Z)
• Performance of teleportation-based error correction circuits for bosonic codes with noisy measurements [58.720142291102135]
  We analyze the error-correction capabilities of rotation-symmetric codes using a teleportation-based error-correction circuit. We find that with the currently achievable measurement efficiencies in microwave optics, bosonic rotation codes undergo a substantial decrease in their break-even potential.
  arXiv  Detail & Related papers  (2021-08-02T16:12:13Z)
• Attention-gated convolutional neural networks for off-resonance correction of spiral real-time MRI [58.11266896200967]
  We present a new CNN-based off-resonance correction method that incorporates an attention-gate mechanism. We demonstrate improved performance with the attention-gate, on 1.5 Tesla spiral speech RT-MRI, compared to existing off-resonance correction methods.
  arXiv  Detail & Related papers  (2021-02-14T23:43:50Z)
• Mitigating the effect of atmospheric turbulence on orbital angular momentum-based quantum key distribution using real-time adaptive optics with phase unwrapping [6.40476282000118]
  Quantum key distribution (QKD) employed orbital angular momentum (OAM) for high-dimensional encoding enhances the system security and information capacity between two communication parties. We first investigate the performance degradation of OAM-based QKD by infinitely long phase screen (ILPS), which offers a feasible way to study how adaptive optics (AO) dynamically corrects the turbulence-induced aberrations in real time.
  arXiv  Detail & Related papers  (2021-02-02T09:46:05Z)
• T$^2$-Net: A Semi-supervised Deep Model for Turbulence Forecasting [65.498967509424]
  Air turbulence forecasting can help airlines avoid hazardous turbulence, guide routes that keep passengers safe, maximize efficiency, reduce costs. Traditional forecasting approaches rely on painstakingly customized turbulence indexes, which are less effective in dynamic and complex weather conditions. We propose a machine learning based turbulence forecasting system due to two challenges: (1) Complex-temporal correlations, and (2) scarcity, very limited turbulence labels can be obtained.
  arXiv  Detail & Related papers  (2020-10-26T21:14:15Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.