| Autor: |
Shao-ting LIU, Xiao-kai WANG, Da-bo GUO |
| Jazyk: |
čínština |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
Tongxin xuebao, Vol 38, Pp 171-177 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
1000-436X |
| DOI: |
10.11959/j.issn.1000-436x.2017222 |
| Popis: |
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 2×105continuous 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
