Neural Network-Powered Nonlinear Compensation Framework for High-Speed Continuous Variable Quantum Key Distribution

Neural Network-Powered Nonlinear Compensation Framework for High-Speed Continuous Variable Quantum Key Distribution

In this paper, we present a neural network-based framework to compensate for the nonlinear distortion of high-speed continuous variable quantum key distribution (CV-QKD) systems. In practice, the nonlinear impairment of imperfect devices could bring interference to the measured quadrature values and...

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Bibliographic Details
Main Authors: Hang Zhang, Yong Luo, Ling Zhang, Xinchao Ruan, Duan Huang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Photonics Journal
Subjects:
Artificial neural network
autoencoder
balanced homodyne detector
continuous variable
nonlinear compensation
quantum key distribution
Online Access:https://ieeexplore.ieee.org/document/9760058/

Internet

https://ieeexplore.ieee.org/document/9760058/

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