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作 者:Chang Liu Yue Li Haoyang Wang Kaiyi Shi Duo Ma Yujia Zhang Haiqiang Ma 刘畅;李悦;王浩洋;石开毅;马铎;张育嘉;马海强(State Key Laboratory of Information Photonics and Optical Communications,School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China)
出 处:《Chinese Physics Letters》2025年第1期23-27,共5页中国物理快报(英文版)
基 金:supported by the State Key Laboratory of Information Photonics and Optical Communications(Beijing University of Posts and Telecommunications)No.IPOC2021ZT10;BUPT Excellent Ph.D.Students Foundation(Grant No.CX2023207);the BUPT innovation and entrepreneurship support program No.2024-YC-A188。
摘 要:Phase-matching quantum-key distribution(PM-QKD)has achieved significant results in various practical applications.However,real-time communication requires dynamic adjustment and optimization of key parameters during communication.In this letter,we predict the PM-QKD parameters using nature-inspired algorithms(NIAs).The results are obtained from an exhaustive traversal algorithm(ETA),which serves as a benchmark.We mainly study the parameter optimization effects of the two NIAs:ant colony optimization(ACO)and the genetic algorithm(GA).The configuration of the inherent parameters of these algorithms in the decoy-state PM-QKD is also discussed.The simulation results indicate that the parameters obtained by the ACO exhibit superior convergence and stability,whereas the GA results are relatively scattered.Nevertheless,more than 97%of the key rates predicted by both algorithms are highly consistent with the optimal key rate.Moreover,the relative error of the key rates remained below 10%.Furthermore,NIAs maintain power consumption below 8 W and require three orders of magnitude less computing time than ETA.
关 键 词:OPTIMIZATION SCATTERED LETTER
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