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: Li, X. (Author), Luo, Y. (Author), Ruan, X. (Author), Xing, Z. (Author), Zhang, H. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
convolution neural network
local local oscillation continuous variable quantum key distribution
phase compensation
phase drift
Online Access:View Fulltext in Publisher

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