Automated progress tomography using genetic algorithm for quantum key distribution

Xiang Dong

doi:10.1117/12.2686752

6 August 2023 Automated progress tomography using genetic algorithm for quantum key distribution

Xiang Dong

Proceedings Volume 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023); 127812U (2023) https://doi.org/10.1117/12.2686752
Event: 2023 International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 2023, Guangzhou, JS, China

Abstract

Polarization maintenance of quantum communication links is one of the keys to the stable and long-term operation of optical quantum communication. At present, many solutions are based on link process tomography result for polarization compensation. To automate process tomography for automated polarization compensation when the link is changed, this paper presents an automated optical path process tomography method based on genetic algorithm. This method uses sensors to automatically obtain input and output states and depends on genetic algorithm to optimize the post-processing of process tomography. In this way, the method can automatically solve the transmission process in the optical path. Besides, the experimental verification is completed by using a single-mode fiber simulation optical path black-box. The experimental results demonstrate that the fidelity of polarized light can reach an average of 0.9966. This method can automate the process tomography of the optical path Therefore, the method has the potential to improve the efficiency and reliability of polarization compensation in quantum communication.

Citation Download Citation

Xiang Dong "Automated progress tomography using genetic algorithm for quantum key distribution", Proc. SPIE 12781, International Conference on Optoelectronic Information and Functional Materials (OIFM 2023), 127812U (6 August 2023); https://doi.org/10.1117/12.2686752

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