详细信息

Discrete-Phase-Randomized Mode-Pairing Quantum Key Distribution  ( SCI-EXPANDED收录 EI收录)  

文献类型:期刊文献

英文题名:Discrete-Phase-Randomized Mode-Pairing Quantum Key Distribution

作者:Xu, Yuewei[1];Lu, Zeyang[1];Li, Chan[1];Long, Jian[1];Cao, Zhu[2,3]

机构:[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai, Peoples R China;[2]Tongji Univ, Coll Elect & Informat Engn, Shanghai, Peoples R China;[3]Tongji Univ, Shanghai Res Inst Intelligent Autonomous Syst, Shanghai, Peoples R China

年份:2026

卷号:9

期号:4

外文期刊名:ADVANCED QUANTUM TECHNOLOGIES

收录:;EI(收录号:20261720567722);WOS:【SCI-EXPANDED(收录号:WOS:001753364600019)】;

基金:This work was supported by the Natural Science Foundation of Shanghai under Grant 25ZR1402098, Shanghai Science and Technology Project under Grant 24LZ1401600, the National Natural Science Foundation of China under Grant 62373155, and the startup fund from East China University of Science and Technology under Grant YH0142234.

语种:英文

外文关键词:Coherent state; Decoy State method; Discrete phase randomization; Mode-pairing; Quantum key distribution

摘要:Mode-pairing quantum key distribution (MP-QKD) protocol achieves performance beyond the repeaterless rate-transmittance bound and exhibits excellent practicality by avoiding the requirement for difficult global phase locking. However, the source side of MP-QKD still relies on the assumption of continuous phase randomization, an experimentally infeasible requirement in practice. Therefore, the practical security of the protocol cannot be fully guaranteed. In this work, we propose a discrete-phase-randomized mode-pairing quantum key distribution (DPR-MP-QKD) protocol and analyze the basis-dependence of the source side. Then, we introduce a concrete discrete version of the decoy state method that ensures the security of the DPR-MP-QKD protocol. Finally, simulation results indicate that as the number of discrete phases increases, the key rate performance of DPR-MP-QKD progressively approaches that of the continuous case, with convergence achieved at approximately 14 discrete phases. Moreover, our approach drastically lowers the demand for randomness. While conventional continuous phase randomization demands an unlimited supply of random bits, we show that merely a few bits (e.g., 4) are adequate.

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