Reverse reconciliation for continuous variable quantum key distribution

作     者：LU ZhiXin 1,2 , YU Li 1,2 , LI Kang 1,2 , LIU BingCan 1,2,3 , LIN JianGui 1,2 , JIAO RongZhen 1,2 & YANG BoJun 1,21 School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China 2 Key Laboratory of Information Photonics and Optical Communication, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China 3 Department of Fundamental Courses, Academy of Armored Force Engineering, Beijing 100072, China 

作者机构：School of Science Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Information Photonics and Optical Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing China Department of Fundamental Courses Academy of Armored Force Engineering Beijing China 

出 版 物：《Science China(Physics,Mechanics & Astronomy)》 (中国科学：物理学、力学、天文学（英文版）)

年 卷 期：2010年第53卷第1期

页      面：100-105页

核心收录：

学科分类：07[理学] 070104[理学-应用数学] 0805[工学-材料科学与工程（可授工学、理学学位）] 070201[理学-理论物理] 0704[理学-天文学] 0701[理学-数学] 0702[理学-物理学] 

基　　金：supported by the National Basic Research Program of China(Grant No. 2010CB923202) the National Natural Science Foundation of China (Grant No. 60578043) the Common Construction Program of Beijing Municipal Commission of Education (Grant No. XK100130937) 

主　　题：quantum communication key distribution reverses reconciliation low-density parity check codes 

摘      要：An efficient and practical post-processing technique based on reverse reconciliation for continuous variable quantum key distribution is proposed and simulated with low-density parity check (LDPC) codes. MultiLevel Coding/ MultiStage Decoding, which fully utilizes optimization technique such as vector quantization and iterative decoding and the optimal channel coding most close to the Shannon limit, was used to realize efficient reverse reconciliation algorithm. Simulation results showed that the proposed method can improve the secure key distribution rate to 2.2 kb/s and the coding efficiency to 0.89 over 20 km in single-mode optical fiber. Moreover, there still is room for much improvement.