Parameter estimation of atmospheric continuous-variable quantum key distribution

Geng Chai, Zhengwen Cao, Weiqi Liu, Shiyu Wang, Peng Huang, and Guihua Zeng
Phys. Rev. A 99, 032326 – Published 18 March 2019

Abstract

Atmospheric effects are the chief threats to the quantum properties of propagating quantum signals and may degrade the performance of quantum key distribution seriously. As one of the most important parts of continuous-variable quantum key distribution (CVQKD), a parameter estimation method has not been specially proposed in an atmospheric channel, and usually the security analysis is based on the assumption that the relevant parameters, especially the excess noise, have been previously obtained. Here we propose a parameter estimation method for Gaussian modulated coherent state continuous-variable quantum key distribution over the atmospheric link, and we investigate the impact of the atmospheric channel on the estimated values of the parameters. Based on this method, we study theoretically the effect of link fluctuations on the achievable secret key rate of CVQKD under different practical transmitted conditions. The results show that this method is unified with the physical model and can effectively resist entanglement-distillation attack. The proposed method fills in the blank of parameter estimation for implementation of practical atmospheric CVQKD.

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  • Received 9 January 2019

DOI:https://doi.org/10.1103/PhysRevA.99.032326

©2019 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Geng Chai1, Zhengwen Cao1,*, Weiqi Liu1, Shiyu Wang2, Peng Huang2,†, and Guihua Zeng2,‡

  • 1School of Information Science and Technology, Northwest University, Xi'an 710127, China
  • 2State Key Laboratory of Advanced Optical Communication Systems and Networks, and Center of Quantum Sensing and Information Processing (QSIP), Shanghai Jiao Tong University, Shanghai 200240, China

  • *caozhw@nwu.edu.cn
  • huang.peng@sjtu.edu.cn
  • ghzeng@sjtu.edu.cn

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Issue

Vol. 99, Iss. 3 — March 2019

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