Deep learning as a tool to distinguish between high orbital angular momentum optical modes

2016 ◽  
Author(s):  
E. M. Knutson ◽  
Sanjaya Lohani ◽  
Onur Danaci ◽  
Sean D. Huver ◽  
Ryan T. Glasser
Keyword(s):  
Angular Momentum ◽  
Deep Learning ◽  
Orbital Angular Momentum ◽  
Optical Modes

scholarly journals Performance Analysis of 3D Video Transmission over Multi-coded N-ary Orbital Angular Momentum FSO System using Deep-learning

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Shimaa A. El-Meadawy ◽  
Hossam M. H. Shalaby ◽  
Nabil A. Ismail ◽  
Ahmed E. A. Farghal ◽  
Fathi E. Abd El-Samie ◽  
...  
Keyword(s):  
Angular Momentum ◽  
Deep Learning ◽  
Performance Analysis ◽  
Orbital Angular Momentum ◽  
Video Transmission ◽  
3D Video

Interferometric orbital angular momentum modedetection in turbulence with deep learning

2021 ◽  
Author(s):  
Mitchell Cox ◽  
Turgay Celik ◽  
Yuval genga ◽  
Alice Drozdov
Keyword(s):  
Angular Momentum ◽  
Deep Learning ◽  
Orbital Angular Momentum

scholarly journals Controlling light’s helicity at the source: orbital angular momentum states from lasers

2017 ◽  
Vol 375 (2087) ◽  
pp. 20150436 ◽  
Author(s):  
Andrew Forbes
Keyword(s):  
Angular Momentum ◽  
Solid State ◽  
Orbital Angular Momentum ◽  
Laser Cavity ◽  
Solid State Lasers ◽  
On Demand ◽  
Twisted Light ◽  
Optical Modes ◽  
On Chip

Optical modes that carry orbital angular momentum (OAM) are routinely produced external to the laser cavity and have found a variety of applications, thus increasing the demand for integrated solutions for their production. Yet such modes are notoriously difficult to produce from lasers due to the strict symmetry requirements for their creation, together with the need to break the degeneracy in helicity. Here, we review the progress made since 1992 in producing such twisted light modes directly at the source, from gas to solid-state lasers, bulk to integrated on-chip solutions, through to generic devices for on-demand OAM in both scalar and vector forms. This article is part of the themed issue ‘Optical orbital angular momentum’.

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

2021 ◽  
Vol 119 (4) ◽  
pp. 044104
Author(s):  
Hongqiang Zhou ◽  
Yongtian Wang ◽  
Xin Li ◽  
Zhentao Xu ◽  
Xiaowei Li ◽  
...  
Keyword(s):  
Angular Momentum ◽  
Deep Learning ◽  
Orbital Angular Momentum ◽  
Learning Approach ◽  
High Fidelity

scholarly journals High-Accuracy Recognition of Orbital Angular Momentum Modes Propagated in Atmospheric Turbulences Based on Deep Learning

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 159542-159551
Author(s):  
Yuan Hao ◽  
Lin Zhao ◽  
Tao Huang ◽  
Yi Wu ◽  
Ting Jiang ◽  
...  
Keyword(s):  
Angular Momentum ◽  
Deep Learning ◽  
Orbital Angular Momentum ◽  
High Accuracy

scholarly journals Deep learning based atmospheric turbulence compensation for orbital angular momentum beam distortion and communication

2019 ◽  
Vol 27 (12) ◽  
pp. 16671 ◽  
Author(s):  
Junmin Liu ◽  
Peipei Wang ◽  
Xiaoke Zhang ◽  
Yanliang He ◽  
Xinxing Zhou ◽  
...  
Keyword(s):  
Angular Momentum ◽  
Deep Learning ◽  
Atmospheric Turbulence ◽  
Orbital Angular Momentum
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