Multidimensional LDPC for the Reconciliation of the Continuous Variables Quantum Key Distribution System

被引：0

作者：

Huang, Chun-Hui ^{[1
]}

机构：

[1] Fuzhou Univ, Coll Phys & Informat Engn, Fuzhou 350108, Peoples R China

来源：

NETWORK COMPUTING AND INFORMATION SECURITY | 2012年 / 345卷

关键词：

reconciliation; continuous-variable quantum key; multidimensional LDPC code;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Reconciliation is one of the most important technology in continuous variables quantum key distribution. In this paper, we implement multidimensional reconciliation, which can realize reconciliation without quantizing continuous variables, that greatly reduces the computational complexity of continuous variable reconciliation. Applying a linear group code of LDPC, the encoding and decoding was simple and has the performance of near to shannon's limit. LDPC is used in multidimensional reconciliation algorithm for correction. The results show that the key error rate approaches zero when noise-signal ratio comes to 5.2dB.

引用

页码：731 / 738

页数：8

共 10 条

[1]

Adans J., 1962, ANN MATH, V75, P603

[2]

Grosshans F., 2002, PUT PHYS REV, V88

[3] Multidimensional reconciliation for continuous-variable quantum key distribution [J].

Leverrier, Anthony ;

Alleaume, Romain ;

Boutros, Joseph ;

Zemor, Gilles ;

Grangier, Philippe .

2008 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-6, 2008, :1020-+

[4]

Li Q.-Y., 2001, NUMERICAL ANAL, P165

[5] Compression of binary sources with side information at the decoder using LDPC codes [J].

Liveris, AD ;

Xiong, ZX ;

Georghiades, CN .

IEEE COMMUNICATIONS LETTERS, 2002, 6 (10) :440-442

[6]

Lu W.-M., 2006, THESIS HUAZHONG U SC

[7]

Ma R., 2006, QUANTUM CRYPTOGRAPHY, P120

[8]

Mehrdads Sharbaf, 2009, INFORM TECHNOLOGY NE, V27-29, P1644

[9]

Van Assche G., 2002, IEEE, V50, P394

[10]

Yuan D.-F., 2008, LDPC CODE THEORY APP, P72

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