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基于CPU/GPU异构平台的连续变量量子密钥分发多维数据协调

Multidimensional Data Reconciliation for Continuous-Variable Quantum Key Distribution Based on CPU/GPU Heterogeneous Platform

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摘要

针对当前连续变量量子密钥分发系统数据协调运算速率低的问题,采用中央处理器/图形处理器(CPU/GPU)异构平台实现了多维数据协调算法的并行加速运算,提出了对于异构计算要求的大规模校验矩阵静态双向十字链表及多维并行协调算法。在该平台上对码长为2.048×10 5的情况进行了仿真计算。通过仿真可获取收敛信噪比和协调计算时间,并计算得出协调速率、密钥传输距离和协调效率。结果表明:当码长为2.048×10 5时,在保证协调效率的前提下,采用CPU/GPU异构平台并行加速的协调速率为CPU平台的5倍。

Abstract

Current continuous-variable quantum key distribution systems suffer from low computing speed for data reconciliation. Herein, we address this problem by implementing a parallel acceleration for a multidimensional data reconciliation algorithm based on a central processing unit/graphics processing unit (CPU/GPU) heterogeneous platform. To meet the special requirements of heterogeneous parallel computing, we propose a static two-way crosslinked list to store a hyperscale low-density parity-check matrix. We also propose a parallel reconciliation algorithm. A simulation experiment is carried out on the heterogenous platform with a code length of 2.048×10 5. Reconciliation speed, key transmission distance, and reconciliation efficiency are calculated based on the simulation results of the convergence signal-to-noise ratio and time of reconciliation. Results show that when the code length is 2.048×10 5, the reconciliation speed of parallel acceleration on the CPU/GPU heterogeneous platform is five times faster than that on the CPU platform.

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DOI:10.3788/LOP56.152702

所属栏目:量子光学

基金项目:山西省基础研究项目(201801D121118);

收稿日期:2019-02-19

修改稿日期:2019-03-05

网络出版日期:2019-08-01

作者单位    点击查看

穆健健:山西大学物理电子工程学院, 山西 太原 030006
郭大波:山西大学物理电子工程学院, 山西 太原 030006
马识途:山西大学物理电子工程学院, 山西 太原 030006
贺超:山西大学物理电子工程学院, 山西 太原 030006

联系人作者:郭大波(dabo_guo@sxu.edu.cn)

备注:山西省基础研究项目(201801D121118);

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引用该论文

Jianjian Mu, Dabo Guo, Shitu Ma, Chao He. Multidimensional Data Reconciliation for Continuous-Variable Quantum Key Distribution Based on CPU/GPU Heterogeneous Platform[J]. Laser & Optoelectronics Progress, 2019, 56(15): 152702

穆健健, 郭大波, 马识途, 贺超. 基于CPU/GPU异构平台的连续变量量子密钥分发多维数据协调[J]. 激光与光电子学进展, 2019, 56(15): 152702

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