基于Turbo码的量子高斯密钥分发的数据协调

为了使加密系统中两个合法用户Alice和Bob从量子信道传送的相关的高斯连续变量X和y中获取出密钥,通过一个理想公共授权信道传送部分信息进而从不一致的X和y中得到一致的二进制密钥,这一过程称为协调.本文在样条纠错(Sliced Error Correction,SEC)和多级编码/多路译码(Multi Level coding/Multi Stage Decoding,MLC/MSD)方案的基础上,构建了一套以Turbo纠错码为基础的连续变量量子密钥分发系统的反向数据协调方案.提出了以Turbo码的校验比特流为协调信息的Slepian-Wolf编译码方案.仿真结果表明可在信道信噪比7 dB以上实现20000个连续变量序列的协调.

Reconciliation of Quantum Gaussian Distributed Key based on Turbo Codes

Two legitimate users of an encryption system, Alice and Bob, want to acquire the key from the related Gaussian continuous variables X and Y transferred through a quantum channel, by exchanging parts of information through an ideal public authorized channel, and they get consistent binary keys from the inconsistent X and Y. This process is referred to reconciliation. This paper builds a reconciliation scheme for continuous-variables quantum key distribution using Turbo codes as the primitive code, on the basis of Sliced Error Correction (SEC) and Multi Level coding/Multi Stage Decoding (MLC/MSD). Parity bits of Turbo code are employed as the redundant information in the Slepian-Wolf encoding and decoding scheme. The simulation results show that the reconciliation convergences when the SNR is 7dB above whilst the block size is 20000.