基于MGC-LDPC码的连续变量量子密钥分配高效对调

IF 2.2 3区 物理与天体物理 Q1 PHYSICS, MATHEMATICAL
Siyu Jia, Han Hai, Xue-Qin Jiang, Shahid Mumtaz, Evangelos K. Markakis, Peng Huang
{"title":"基于MGC-LDPC码的连续变量量子密钥分配高效对调","authors":"Siyu Jia,&nbsp;Han Hai,&nbsp;Xue-Qin Jiang,&nbsp;Shahid Mumtaz,&nbsp;Evangelos K. Markakis,&nbsp;Peng Huang","doi":"10.1007/s11128-024-04623-3","DOIUrl":null,"url":null,"abstract":"<div><p>Increasing the reconciliation efficiency and decreasing the frame error rate (FER) during the reconciliation for continuous-variable quantum key distribution (CV-QKD) can improve the secret key rate of CV-QKD. In this paper, we introduce matryoshka globally coupled low-density parity-check (MGC-LDPC) codes with high error correction performance into CV-QKD to increase the reconciliation efficiency. To decrease the FER, we propose an optimization method for MGC-LDPC codes during the reconciliation, thus improving the secret key rate of CV-QKD. Simulation experiments show that the reconciliation efficiency of CV-QKD can be improved to 98.39% by using the optimized MGC-LDPC codes, and the secure transmission distance can be extended to 190 km.</p></div>","PeriodicalId":746,"journal":{"name":"Quantum Information Processing","volume":"24 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"High-efficiency reconciliation for continuous-variable quantum key distribution using MGC-LDPC codes\",\"authors\":\"Siyu Jia,&nbsp;Han Hai,&nbsp;Xue-Qin Jiang,&nbsp;Shahid Mumtaz,&nbsp;Evangelos K. Markakis,&nbsp;Peng Huang\",\"doi\":\"10.1007/s11128-024-04623-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Increasing the reconciliation efficiency and decreasing the frame error rate (FER) during the reconciliation for continuous-variable quantum key distribution (CV-QKD) can improve the secret key rate of CV-QKD. In this paper, we introduce matryoshka globally coupled low-density parity-check (MGC-LDPC) codes with high error correction performance into CV-QKD to increase the reconciliation efficiency. To decrease the FER, we propose an optimization method for MGC-LDPC codes during the reconciliation, thus improving the secret key rate of CV-QKD. Simulation experiments show that the reconciliation efficiency of CV-QKD can be improved to 98.39% by using the optimized MGC-LDPC codes, and the secure transmission distance can be extended to 190 km.</p></div>\",\"PeriodicalId\":746,\"journal\":{\"name\":\"Quantum Information Processing\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-12-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Quantum Information Processing\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11128-024-04623-3\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PHYSICS, MATHEMATICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantum Information Processing","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s11128-024-04623-3","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PHYSICS, MATHEMATICAL","Score":null,"Total":0}
引用次数: 0

摘要

提高连续变量量子密钥分发(CV-QKD)的协调效率和降低协调过程中的帧错误率可以提高CV-QKD的密钥率。本文将具有高纠错性能的matroshka全局耦合低密度奇偶校验码(MGC-LDPC)引入到CV-QKD中,以提高对调效率。为了降低误码率,我们提出了一种优化MGC-LDPC码对调过程的方法,从而提高了CV-QKD的密钥率。仿真实验表明,优化后的MGC-LDPC码可将CV-QKD的对调效率提高到98.39%,安全传输距离可扩展到190 km。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-efficiency reconciliation for continuous-variable quantum key distribution using MGC-LDPC codes

Increasing the reconciliation efficiency and decreasing the frame error rate (FER) during the reconciliation for continuous-variable quantum key distribution (CV-QKD) can improve the secret key rate of CV-QKD. In this paper, we introduce matryoshka globally coupled low-density parity-check (MGC-LDPC) codes with high error correction performance into CV-QKD to increase the reconciliation efficiency. To decrease the FER, we propose an optimization method for MGC-LDPC codes during the reconciliation, thus improving the secret key rate of CV-QKD. Simulation experiments show that the reconciliation efficiency of CV-QKD can be improved to 98.39% by using the optimized MGC-LDPC codes, and the secure transmission distance can be extended to 190 km.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Quantum Information Processing
Quantum Information Processing 物理-物理:数学物理
CiteScore
4.10
自引率
20.00%
发文量
337
审稿时长
4.5 months
期刊介绍: Quantum Information Processing is a high-impact, international journal publishing cutting-edge experimental and theoretical research in all areas of Quantum Information Science. Topics of interest include quantum cryptography and communications, entanglement and discord, quantum algorithms, quantum error correction and fault tolerance, quantum computer science, quantum imaging and sensing, and experimental platforms for quantum information. Quantum Information Processing supports and inspires research by providing a comprehensive peer review process, and broadcasting high quality results in a range of formats. These include original papers, letters, broadly focused perspectives, comprehensive review articles, book reviews, and special topical issues. The journal is particularly interested in papers detailing and demonstrating quantum information protocols for cryptography, communications, computation, and sensing.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信