Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network

Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network

Phase drift extremely limits the secure key rate and secure transmission distance, which is non-negligible in local oscillation continuous variable quantum key distribution (LLO CV-QKD). In order to eliminate the impact caused by phase drift, we analyze the phase noise of the system and propose a ph...

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Bibliographic Details
Main Authors: Zhuangzhuang Xing, Xingqiao Li, Xinchao Ruan, Yong Luo, Hang Zhang
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Photonics
Subjects:
phase compensation
phase drift
local local oscillation continuous variable quantum key distribution
convolution neural network
Online Access:https://www.mdpi.com/2304-6732/9/7/463

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https://www.mdpi.com/2304-6732/9/7/463

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