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

Xingyu Wang; Tianyi Wu; Chen Dong; Haonan Zhu; Zhuodan Zhu; Shanghong Zhao

doi:10.1364/PRJ.409645

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 Wang^1,2, Tianyi Wu², Chen Dong^2、*, 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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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

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