Natural Science Foundation of Guangdong Province(2023A1515010671);Key Research and Development Project of Shaanxi Province(2024YBXM-069;2023-YBGY-206);Shaanxi Provincial Young Innovative Teams in Higher Education, China
SHI Sha, ZHANG Yi-jun, ZHU Gao-hui, et al. Research on the Decoding of Spatially-Coupled Quantum LDPC Codes[J]. Acta Electronica Sinica, 2025, 53(07): 2222-2228.
SHI Sha, ZHANG Yi-jun, ZHU Gao-hui, et al. Research on the Decoding of Spatially-Coupled Quantum LDPC Codes[J]. Acta Electronica Sinica, 2025, 53(07): 2222-2228. DOI:10.12263/DZXB.20250007
Research on the Decoding of Spatially-Coupled Quantum LDPC Codes
Spatially-coupled quantum LDPC (SC-QLDPC) codes have significant applications in distributed quantum computing systems
yet achieving corresponding low-latency and efficient decoding remains a core challenge in their practical implementation. This paper focuses on the severe impact of chain reactions caused by error propagation during sliding window decoding of SC-QLDPC codes on decoding performance. We propose a dual-window backtracking optimization decoding strategy for quantum dual-window sliding decoding algorithms applicable to SC-QLDPC codes. A cost-performance metric method for window expansion during decoding is presented
and strategies for selecting optimal small backtracking windows during quantum sliding window backtracking are discussed. Experimental results demonstrate that the proposed quantum sliding window backtracking strategy achieves optimized balance between decoding complexity and performance
effectively addressing the significant performance degradation caused by improper window size selection and error propagation during quantum sliding window decoding processes.
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