Detecting orbital angular momentum of perfect optical vortex beams
based on diffraction neural networks

doi:10.3969/j.issn.1007-5461.2022.02.006

Abstract

Abstract: Perfect optical vortex beam (POVB) is a specific kind of vortex beam with radial intensity distribution and radius both independent of the orbital angular momentum (OAM) states, which has been applied in optical manipulation, optical communication, laser material processing and so on. The detection of OAM states of POVB is critical and challenges remain. A diffractive optical neural network (DNN) has been constructed based on the parallel gradient descent algorithm, and the recognition of the POVB with OAM order ranging from 􀀀50 to +50 has been realized experimentally. In this process, thediffraction conversion efficiency can reach up to 58%. This work provides a new method for OAM detection of POVB and shows great potential in various POVB-based applications.

Key words: Fourier optics, orbital angular momentum detection, optical diffraction neural network; perfect optical vortex beam

CLC Number:

O438.2

CHENG Ke, HU Xiaonan, HE Yu, MENG Weijia, LUAN Haitao, GU Min, FANG Xinyuan, . Detecting orbital angular momentum of perfect optical vortex beams based on diffraction neural networks[J]. Chinese Journal of Quantum Electronics, 2022, 39(2): 262-271.

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Detecting orbital angular momentum of perfect optical vortex beams based on diffraction neural networks

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