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Improved Parity-Based Error Estimation Scheme in Quantum Key Distribution

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Advances in Intelligent Information Hiding and Multimedia Signal Processing

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 157))

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Abstract

Quantum Key Distribution (QKD) is a promising technique to distribute unconditional secure keys for the remote two parties. In order to improve the final secure key rate of a QKD system, the Quantum Bit Error Rate (QBER) needs to be estimated as accurate as possible with minimum information leakage. In this paper, an improved parity-based error estimation scheme is proposed. The core part of the scheme is the proposed optimal block length calculation method. Simulation results show that the proposed scheme improves the accuracy of QBER estimation with less information leakage.

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Acknowledgements

This work is supported by the Space Science and Technology Advance Research Joint Funds (6141B06110105) and the National Natural Science Foundation of China (Grant Number: 61771168).

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Authors and Affiliations

  1. Information Countermeasure Technique Institute, School of Computer Science and Technology, Harbin Institute of Technology, Harbin, 150080, China

    Haokun Mao & Qiong Li

Authors
  1. Haokun Mao
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  2. Qiong Li
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Corresponding author

Correspondence to Qiong Li .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao Shi, Shandong, China

    Jeng-Shyang Pan

  2. Northeast Electric Power University, Chuanying Qu, Jilin, China

    Jianpo Li

  3. Swinburne University of Technology, Hawthorn, Melbourne, Australia

    Pei-Wei Tsai

  4. Centre for Artificial Intelligence, University of Technology Sydney, Sydney, NSW, Australia

    Lakhmi C. Jain

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Mao, H., Li, Q. (2020). Improved Parity-Based Error Estimation Scheme in Quantum Key Distribution. In: Pan, JS., Li, J., Tsai, PW., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. Smart Innovation, Systems and Technologies, vol 157. Springer, Singapore. https://doi.org/10.1007/978-981-13-9710-3_40

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