连续变量量子密钥分发数据协调加速运算的GPU实现  被引量:2

Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU

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作  者:刘绍婷 王晓凯[1] 郭大波[1] 

机构地区:[1]山西大学物理电子工程学院,山西太原030006

出  处:《通信学报》2017年第11期171-177,共7页Journal on Communications

基  金:山西省国际科技合作计划基金资助项目(No.2014081027-1);山西省基础研究基金资助项目(No.2014011007-2);山西省回国留学人员科研基金资助项目(No.2014-012)~~

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度低等问题,用GPU实现了基于LDPC的SEC协议下数据协调算法的并行化加速运算,提出用静态双向十字链表的方法高效存储大规模稀疏校验矩阵,从而保证在不牺牲协调效率的前提下提高了译码速率。仿真实验结果表明,在信道信噪比为4.9 d B以上、2×105个连续变量序列可靠协调以及协调效率为91.71%的情况下,基于Geforce GT 650 MB的GPU和2.5 GHz、8 GB内存的CPU硬件平台,译码速率可达16.4 kbit/s,相对于仅CPU平台,计算速度提高15倍以上。For the low computing speed of reconciliation for current continuous variable quantum key distribution, CPU&GPU-parallel reconciliation algorithms was designed based on LDPC of SEC protocol to speed up decoding computing. In order to raise decoding speed without sacrifice reconciliation efficiency, a static two-way cross linked list to efficiently store large scale sparse parity matrix was employed. The simulation experimental results show that the speed of the decoding rate reaches 16.4 kbit/s when the channel SNR is over 4.9 dB and the reliability of the 2×105 con-tinuous variable quantum sequence, with reconciliation efficiency of 91.71%. The experimental based on the Geforce GT 650 MB GPU and the 2.5 GHz and 8 GB memory CPU hardware platform. Relative to the only CPU platform, compu-ting speed increased by more than 15 times.

关 键 词:连续变量量子密钥分发 数据协调 低密度奇偶码 静态链表 GPU译码 

分 类 号:TN918.91[电子电信—通信与信息系统]

 

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