AUTHOR=Lv Heng , Guo Yan , Yang Zi-Xiang , Ding Chunling , Cai Wu-Hao , You Chenglong , Jin Rui-Bo TITLE=Identification of Diffracted Vortex Beams at Different Propagation Distances Using Deep Learning JOURNAL=Frontiers in Physics VOLUME=10 YEAR=2022 URL=https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2022.843932 DOI=10.3389/fphy.2022.843932 ISSN=2296-424X ABSTRACT=

The Orbital angular momentum (OAM) of light is regarded as a valuable resource in quantum technology, especially in quantum communication and quantum sensing and ranging. However, the OAM state of light is susceptible to undesirable experimental conditions such as propagation distance and phase distortions, which hinders the potential for the realistic implementation of relevant technologies. In this article, we exploit an enhanced deep learning neural network to identify different OAM modes of light at multiple propagation distances with phase distortions. Specifically, our trained deep learning neural network can efficiently identify the vortex beam’s topological charge and propagation distance with 97% accuracy. Our technique has important implications for OAM based communication and sensing protocols.