Abstract

An efficient error reconciliation scheme is important for post-processing of quantum key distribution (QKD). This paper concerns the improvement of reconciliation performance. Recently, a multi-matrix low-density parity-check code-based reconciliation algorithm which can provide remarkable perspectives for high-efficiency information reconciliation was proposed by Gao (Opt Express 27:14545–14566, 2019). The multi-matrix algorithm is implemented and optimized on the graphics processing unit (GPU) to obtain high reconciliation throughput. Experimental results indicate that the GPU-based algorithm can highly improve reconciliation throughput to an average of 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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.