A deep learning approach for trustworthy high-fidelity computational holographic orbital angular momentum communication-Reference-Cited by-同舟云学术

A deep learning approach for trustworthy high-fidelity computational holographic orbital angular momentum communication

Published:2021-07-26 Issue:4 Volume:119 Page:044104
ISSN:0003-6951
Container-title:Applied Physics Letters
language:en
Short-container-title:Appl. Phys. Lett.

Author:

Zhou Hongqiang¹,Wang Yongtian¹^ORCID,Li Xin¹,Xu Zhentao¹²,Li Xiaowei³^ORCID,Huang Lingling¹^ORCID

Affiliation:

1. Beijing Engineering Research Center of Mixed Reality and Advanced Display, School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, China

2. Beijing Aerospace Automatic Control Institute, Beijing 100143, China

3. Laser Micro/Nano-Fabrication Laboratory, School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Beijing Outstanding Scientist Program

Fok Ying-Tong Education Foundation of China

Publisher

AIP Publishing

Subject

Physics and Astronomy (miscellaneous)

Link

https://aip.scitation.org/doi/pdf/10.1063/5.0051132

Reference37 articles.

1. Gaussian beams with very high orbital angular momentum

2. Generating optical orbital angular momentum at visible wavelengths using a plasmonic metasurface

3. High-capacity millimetre-wave communications with orbital angular momentum multiplexing

4. Metasurface orbital angular momentum holography

5. Orbital angular momentum of light and the transformation of Laguerre-Gaussian laser modes

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