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Photonics Research, Volume. 9, Issue 2, B9(2021)

Integrating deep learning to achieve phase compensation for free-space orbital-angular-momentum-encoded quantum key distribution under atmospheric turbulence

Xingyu Wang1,2, Tianyi Wu2, Chen Dong2、*, Haonan Zhu1, Zhuodan Zhu3, and Shanghong Zhao1
Author Affiliations
  • 1School of Information and Navigation, Air Force Engineering University, Xi’an 710077, China
  • 2Information and Communication College, National University of Defense Technology, Xi’an 710006, China
  • 3No. 94782 Unit of PLA, Hangzhou 310021, China
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    [1] Li Gao, Yang Chai, Darko Zibar, Zongfu Yu, "Deep learning in photonics: introduction," Photonics Res. 9, DLP1 (2021)

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    Xingyu Wang, Tianyi Wu, Chen Dong, Haonan Zhu, Zhuodan Zhu, Shanghong Zhao, "Integrating deep learning to achieve phase compensation for free-space orbital-angular-momentum-encoded quantum key distribution under atmospheric turbulence," Photonics Res. 9, B9 (2021)

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    Paper Information

    Special Issue: DEEP LEARNING IN PHOTONICS

    Received: Sep. 9, 2020

    Accepted: Nov. 20, 2020

    Published Online: Jan. 14, 2021

    The Author Email: Chen Dong (dongchengfkd@163.com)

    DOI:10.1364/PRJ.409645

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology