High-throughput GPU layered decoder of multi-edge type low density parity check codes in continuous-variable quantum key distribution systems

2020/04/20 by Yang Li, Li, Yang, Xiaofang Zhang +11
Computer Science · Mathematics · Physics and Astronomy · #Error Correcting Code Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum-Dot Cellular Automata #cs.IT #math.IT #quant-ph

paper · pdf · doi:10.48550/arxiv.2004.09084

arxiv created 2020/04/20 · openalex publication_date 2020/04/20 · arxiv updated 2020/04/21 · openalex created_date 2020/07/16 · openalex updated_date 2026/07/28

Abstract

The decoding throughput in the postprocessing is one of the bottlenecks for a continuous-variable quantum key distribution (CV-QKD) system. In this paper, we propose a layered decoder to decode quasi-cyclic multi-edge type LDPC (QC-METLDPC) codes based on graphic processing unit (GPU) in continuous-variable quantum key distribution (CV-QKD) systems. We optimize the storage method of the parity check matrix, merge the sub-matrices which are unrelated, and decode multiple codewords in parallel on GPU. Simulation results demonstrate that the average decoding speed of LDPC codes with three typical code rates, i.e., 0.1, 0.05 and 0.02, is up to 64.11Mbits/s, 48.65Mbits/s and 39.51Mbits/s, respectively, when decoding 128 codewords of length 106 simultaneously without early termination.

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