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High speed error correction for continuous-variable quantum key distribution with multi-edge type LDPC code

机译:多边缘型LDPC码的连续变量量子密钥分配的高速纠错

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摘要

Error correction is a significant step in postprocessing of continuous-variable quantum key distribution system, which is used to make two distant legitimate parties share identical corrected keys. We propose an experiment demonstration of high speed error correction with multi-edge type low-density parity check (MET-LDPC) codes based on graphic processing unit (GPU). GPU supports to calculate the messages of MET-LDPC codes simultaneously and decode multiple codewords in parallel. We optimize the memory structure of parity check matrix and the belief propagation decoding algorithm to reduce computational complexity. Our results show that GPU-based decoding algorithm greatly improves the error correction speed. For the three typical code rate, i.e., 0.1, 0.05 and 0.02, when the block length is 106 and the iteration number are 100, 150 and 200, the average error correction speed can be respectively achieved to 30.39 Mbits/s (over three times faster than previous demonstrations), 21.23 Mbits/s and 16.41 Mbits/s with 64 codewords decoding in parallel, which supports high-speed real-time continuous-variable quantum key distribution system.
机译:纠错是连续变量量子密钥分发系统的后处理中的重要步骤,该系统用于使两个遥远的合法方共享相同的纠正密钥。我们提出了基于图形处理单元(GPU)的多边缘型低密度奇偶校验(MET-LDPC)码进行高速纠错的实验演示。 GPU支持同时计算MET-LDPC代码的消息,并并行解码多个代码字。我们优化了奇偶校验矩阵的存储结构和置信度传播解码算法,以降低计算复杂度。我们的结果表明,基于GPU的解码算法大大提高了纠错速度。对于三种典型的码率,即0.1、0.05和0.02,当块长为10 6 且迭代次数为100、150和200时,平均纠错速度可以分别达到30.39 Mbits / s(比以前的演示速度快三倍),21.23 Mbits / s和16.41 Mbits / s并行解码64个码字,支持高速实时连续可变量子密钥分发系统。

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