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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Bibliografske podrobnosti

Principais autores:	Hang Zhang, Yong Luo, Ling Zhang, Xinchao Ruan, Duan Huang
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2022-01-01
Serija:	IEEE Photonics Journal
Teme:	Artificial neural network autoencoder balanced homodyne detector continuous variable nonlinear compensation quantum key distribution
Online dostop:	https://ieeexplore.ieee.org/document/9760058/
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