Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU
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 efficienc...
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Language: | zho |
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Editorial Department of Journal on Communications
2017-11-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017222/ |
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author | Shao-ting LIU Xiao-kai WANG Da-bo GUO |
author_facet | Shao-ting LIU Xiao-kai WANG Da-bo GUO |
author_sort | Shao-ting LIU |
collection | DOAJ |
description | For the low computing speed of reconciliation for current continuous variable quantum key distribution, CPU&amp;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 2×10<sup>5</sup>continuous 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,computing speed increased by more than 15 times. |
format | Article |
id | doaj-art-94bcc5c0f6494605b26605dfdb615489 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2017-11-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-94bcc5c0f6494605b26605dfdb6154892025-01-14T07:13:24ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2017-11-013817117759713533Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPUShao-ting LIUXiao-kai WANGDa-bo GUOFor the low computing speed of reconciliation for current continuous variable quantum key distribution, CPU&amp;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 2×10<sup>5</sup>continuous 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,computing speed increased by more than 15 times.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017222/continuous variable quantum key distributionreconciliationlow density parity check codestatic linked list,GPU decoding |
spellingShingle | Shao-ting LIU Xiao-kai WANG Da-bo GUO Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU Tongxin xuebao continuous variable quantum key distribution reconciliation low density parity check code static linked list,GPU decoding |
title | Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU |
title_full | Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU |
title_fullStr | Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU |
title_full_unstemmed | Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU |
title_short | Accelerated computational implementation of reconciliation for continuous variable quantum key distribution on GPU |
title_sort | accelerated computational implementation of reconciliation for continuous variable quantum key distribution on gpu |
topic | continuous variable quantum key distribution reconciliation low density parity check code static linked list,GPU decoding |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2017222/ |
work_keys_str_mv | AT shaotingliu acceleratedcomputationalimplementationofreconciliationforcontinuousvariablequantumkeydistributionongpu AT xiaokaiwang acceleratedcomputationalimplementationofreconciliationforcontinuousvariablequantumkeydistributionongpu AT daboguo acceleratedcomputationalimplementationofreconciliationforcontinuousvariablequantumkeydistributionongpu |