Secret information reconciliation based on punctured low-density parity-check codes for continuous-variable quantum key distribution

Xue-Qin Jiang, Peng Huang, Duan Huang, Dakai Lin, and Guihua Zeng
Phys. Rev. A 95, 022318 – Published 13 February 2017

Abstract

Achieving information theoretic security with practical complexity is of great interest to continuous-variable quantum key distribution in the postprocessing procedure. In this paper, we propose a reconciliation scheme based on the punctured low-density parity-check (LDPC) codes. Compared to the well-known multidimensional reconciliation scheme, the present scheme has lower time complexity. Especially when the chosen punctured LDPC code achieves the Shannon capacity, the proposed reconciliation scheme can remove the information that has been leaked to an eavesdropper in the quantum transmission phase. Therefore, there is no information leaked to the eavesdropper after the reconciliation stage. This indicates that the privacy amplification algorithm of the postprocessing procedure is no more needed after the reconciliation process. These features lead to a higher secret key rate, optimal performance, and availability for the involved quantum key distribution scheme.

  • Figure
  • Received 30 August 2016

DOI:https://doi.org/10.1103/PhysRevA.95.022318

©2017 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & Technology

Authors & Affiliations

Xue-Qin Jiang1, Peng Huang2,*, Duan Huang2,†, Dakai Lin2, and Guihua Zeng2,3,‡

  • 1School of Information Science and Technology, Donghua University, Shanghai 201620, China
  • 2State Key Laboratory of Advanced Optical Communication Systems and Networks, Shanghai Key Laboratory on Navigation and Location-Based Service, and Center of Quantum Sensing and Information Processing (QSIP), Shanghai Jiao Tong University, Shanghai 200240, China
  • 3College of Information Science and Technology, Northwest University, Xi'an, Shaanxi 710127, China

  • *huang.peng@sjtu.edu.cn
  • duan.huang@foxmail.com
  • ghzeng@sjtu.edu.cn

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Issue

Vol. 95, Iss. 2 — February 2017

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