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

Journals >Photonics Research >Volume 9 >Issue 2 >Page B9 > Article

Photonics Research
Vol. 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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DOI: 10.1364/PRJ.409645 Cite this Article Set citation alerts

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[J]. Photonics Research, 2021, 9(2): B9 Copy Citation Text

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