1.西安电子科技大学通信工程学院,陕西西安 710071
2.国防科技大学试验训练基地,陕西西安 710106
3.北京量子体系科技股份有限公司,北京100095
4.西安电子科技大学广州研究院,广东广州 510555
5.西安电子科技大学杭州研究院, 浙江杭州 311231
[ "石 莎 女,计算机科学与技术学科博士.现为西安电子科技大学通信工程学院副教授、硕士生导师.主要研究方向为量子信息与计算、网络安全与密码.E-mail: sshi@xidian.edu.cn" ]
[ "张毅军 男,计算机科学与技术学科博士.现为国防科技大学教师.主要研究方向为量子计算、人工智能.E-mail: zhangyijun_gfkjdx@163.com" ]
[ "肖卓彦 男,西安电子科技大学通信工程学院博士研究生.主要研究方向为量子信息与量子计算.E-mail: 1024183914@qq.com" ]
[ "王云江 男,信息与通信系统学科博士.现为西安电子科技大学通信工程学院副教授、博士生导师.主要研究方向为量子信息与量子计算、信息论等.E-mail: yunjiangw@xidian.edu.cn" ]
收稿:2025-01-02,
修回:2025-03-06,
纸质出版:2025-07-25
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石莎, 张毅军, 朱高辉, 等. 空间耦合量子LDPC码的译码研究[J]. 电子学报, 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.
石莎, 张毅军, 朱高辉, 等. 空间耦合量子LDPC码的译码研究[J]. 电子学报, 2025, 53(07): 2222-2228. DOI:10.12263/DZXB.20250007
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
空间耦合量子LDPC(Spatially- Coupled Quantum Low-Density Parity-Check,SC-QLDPC)码在分布式量子计算体系中有着重要应用,然而如何实现相应的低时延高效译码是其在实际应用中面临的核心挑战.本文聚焦SC-QLDPC码在滑窗译码过程中,由窗口译码错误传播引起的连锁反应对译码性能所造成的严重影响这一问题,针对适用于SC-QLDPC码的量子双窗口滑动译码算法提出了双窗口回溯优化译码策略,给出了译码过程中扩大窗口的性价比度量方法,讨论了在量子滑窗回溯时,选择最佳回溯窗口大小的策略.实验表明,本文提出的量子滑窗译码的回溯策略可以在译码复杂度和性能上实现优化均衡,解决了量子滑窗译码过程中由窗口大小的不当选择带来的错误传播所造成的译码性能显著下降的问题.
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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ZHU M , MITCHELL D G M , LENTMAIER M , et al . A novel design of spatially coupled LDPC codes for sliding window decoding [C ] // 2020 IEEE International Symposium on Information Theory (ISIT) . Piscataway : IEEE , 2020 : 473 - 478 .
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