High-efficiency Gaussian key reconciliation in continuous variable quantum key distribution

被引：31

作者：

Bai, ZengLiang ^{[1
]}

Wang, XuYang ^{[1
]}

Yang, ShenShen ^{[1
]}

Li, YongMin ^{[1
]}

机构：

[1] Shanxi Univ, Inst Optoelect, State Key Lab Quantum Opt & Quantum Opt Devices, Taiyuan 030006, Peoples R China

来源：

SCIENCE CHINA-PHYSICS MECHANICS & ASTRONOMY | 2016年 / 59卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Gaussian key reconciliation; irregular LDPC codes; progressive-edge-growth; quasi-cyclic construction method; PARITY-CHECK CODES; GROWTH TANNER GRAPHS; PRIVACY AMPLIFICATION; LDPC CODES; INFORMATION; CAPACITY;

D O I：

10.1007/s11433-015-5702-7

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

Efficient reconciliation is a crucial step in continuous variable quantum key distribution. The progressive-edge-growth (PEG) algorithm is an efficient method to construct relatively short block length low-density parity-check (LDPC) codes. The qua-si-cyclic construction method can extend short block length codes and further eliminate the shortest cycle. In this paper, by combining the PEG algorithm and quasi-cyclic construction method, we design long block length irregular LDPC codes with high error-correcting capacity. Based on these LDPC codes, we achieve high-efficiency Gaussian key reconciliation with slice recon-ciliation based on multilevel coding/multistage decoding with an efficiency of 93.7%.

引用

页码：1 / 5

页数：5

共 27 条

[1]

[Anonymous], QUANTUM CRYPTOGRAPHY

[2] Generalized privacy amplification [J].