Laser & Optoelectronics Progress, Volume. 58, Issue 11, 1127001(2021)

Least Square Algorithm for Phase Estimation in Continuous-Variable Quantum Key Distribution

Biao Huang1,2,3,4, Tiantian Ma4, Yongmei Huang1,3、*, and Zhenming Peng2
Author Affiliations
  • 1Key Laboratory of Optical Engineering, Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu , Sichuan 610209, China
  • 2School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu , Sichuan 610054, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Department of Basic Platform, Southwest Communication Institute, Chengdu , Sichuan 610041, China
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    To improve the accuracy of reference phase estimation in the continuous-variable quantum key distribution, a scheme of reference phase estimation is proposed, which is based on the least square method. Utilizing the second-order correlation characteristics of slow phase drift and the least-square estimation theory, the phase measurement results for a group of reference pulses are fitted by a quadratic polynomial at the receiver to suppress the effect of phase noise. The simulation results show that the least square phase estimation algorithm, compared with the block-averaging estimation algorithm, is better adapted to phase drift variation, so that the mean square error of reference phase estimation can be reduced and the secret key rate of the practical system can be improved significantly.

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    Biao Huang, Tiantian Ma, Yongmei Huang, Zhenming Peng. Least Square Algorithm for Phase Estimation in Continuous-Variable Quantum Key Distribution[J]. Laser & Optoelectronics Progress, 2021, 58(11): 1127001

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    Paper Information

    Category: Quantum Optics

    Received: Nov. 5, 2020

    Accepted: Dec. 2, 2020

    Published Online: Jun. 7, 2021

    The Author Email: Huang Yongmei (huangym@ioe.ac.cn)

    DOI:10.3788/LOP202158.1127001

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