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

show less

Cited By

Article index updated: Jun. 4, 2024

Citation counts are provided from Web of Science. The counts may vary by service, and are reliant on the availability of their data.

The article is cited by 22 article(s) from Web of Science.

The article is cited by 6 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

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

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

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