论文标题
使用单个图形处理单元的量子密钥分布的100Mbps对帐
100Mbps Reconciliation for Quantum Key Distribution Using a Single Graphics Processing Unit
论文作者
论文摘要
有效的误差核对方案对于量子密钥分布（QKD）的后处理很重要。最近，提出了基于多矩阵的低密度平价检查代码，可以为高效信息和解提供非凡的观点。本文涉及和解绩效的改善。在图形处理单元（GPU）上实现并优化了多矩阵算法，以获得高对帐吞吐量。实验结果表明，基于GPU的算法可以高度改善对帐的平均85.67 Mbps，最大102.084 Mbps具有典型的代码速率和效率。据我们所知，这是GPU平台上和解的最佳表现。
An efficient error reconciliation scheme is important for post-processing of quantum key distribution (QKD). Recently, a multi-matrix low-density parity-check codes based reconciliation algorithm which can provide remarkable perspectives for high efficiency information reconciliation was proposed. This paper concerns the improvement of reconciliation performance. Multi-matrix algorithm is implemented and optimized on the graphics processing unit (GPU) to obtain high reconciliation throughput. Experimental results indicate that GPU-based algorithm can highly improve reconciliation throughput to an average 85.67 Mbps and a maximum 102.084 Mbps with typical code rate and efficiency. This is the best performance of reconciliation on GPU platform to our knowledge.
