论文标题
多层类型低密度奇偶校验检查代码的高通量GPU分层分解器连续可变量子密钥分布系统
High-throughput GPU layered decoder of multi-edge type low density parity check codes in continuous-variable quantum key distribution systems
论文作者
论文摘要
后处理中的解码吞吐量是连续变量量子键分布（CV-QKD）系统的瓶颈之一。在本文中，我们提出了一个分层解码器来解码基于连续可变量量子密钥分布（CV-QKD）系统中图形处理单元（GPU）基于图形处理单元（GPU）的代码。我们优化了奇偶校验检查矩阵的存储方法，合并无关的子膜，并在GPU上并行解码多个代码字。仿真结果表明，具有三个典型代码速率的LDPC代码的平均解码速度，即0.1、0.05和0.02，最高为64.11mbits/s，48.65mbits/s和39.51mbits/s，在解码128个长度为106的代码时，无需早期词组。
The decoding throughput in the postprocessing is one of the bottlenecks for a continuous-variable quantum key distribution (CV-QKD) system. In this paper, we propose a layered decoder to decode quasi-cyclic multi-edge type LDPC (QC-METLDPC) codes based on graphic processing unit (GPU) in continuous-variable quantum key distribution (CV-QKD) systems. We optimize the storage method of the parity check matrix, merge the sub-matrices which are unrelated, and decode multiple codewords in parallel on GPU. Simulation results demonstrate that the average decoding speed of LDPC codes with three typical code rates, i.e., 0.1, 0.05 and 0.02, is up to 64.11Mbits/s, 48.65Mbits/s and 39.51Mbits/s, respectively, when decoding 128 codewords of length 106 simultaneously without early termination.
