Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network
Abstract
:1. Introduction
2. Materials and Methods
2.1. Description of LLO CV-QKD
2.2. Analysis of Phase Noise
2.3. Phase Compensation Based on CNN
2.3.1. CNN Model
2.3.2. Phase Compensation
3. Results and Analysis
4. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Xing, Z.; Li, X.; Ruan, X.; Luo, Y.; Zhang, H. Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network. Photonics 2022, 9, 463. https://doi.org/10.3390/photonics9070463
Xing Z, Li X, Ruan X, Luo Y, Zhang H. Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network. Photonics. 2022; 9(7):463. https://doi.org/10.3390/photonics9070463
Chicago/Turabian StyleXing, Zhuangzhuang, Xingqiao Li, Xinchao Ruan, Yong Luo, and Hang Zhang. 2022. "Phase Compensation for Continuous Variable Quantum Key Distribution Based on Convolutional Neural Network" Photonics 9, no. 7: 463. https://doi.org/10.3390/photonics9070463