基于光学衍射神经网络的完美涡旋光
轨道角动量识别

doi:10.3969/j.issn.1007-5461.2022.02.006

量子电子学报 ›› 2022, Vol. 39 ›› Issue (2): 262-271.doi: 10.3969/j.issn.1007-5461.2022.02.006

基于光学衍射神经网络的完美涡旋光轨道角动量识别

成科1,2, 胡晓楠1,2, 贺瑜1,2, 孟维佳1,2, 栾海涛1,2, 顾敏1,2, 方心远1,2*

( 1 上海理工大学光子芯片研究院, 上海200093; 2 上海理工大学光电信息与计算机工程学院人工智能纳米光子学中心, 上海200093 )

收稿日期:2021-10-06 修回日期:2021-11-19 出版日期:2022-03-28 发布日期:2022-03-28
通讯作者: E-mail: xinyuan.fang@usst.edu.cn E-mail:E-mail: xinyuan.fang@usst.edu.cn
作者简介:成科( 1996 - ), 湖南衡阳人, 研究生, 主要从事轨道角动量光束、光学衍射神经网络方面的研究。 E-mail: 203590640@st.usst.edu.cn
基金资助:
Supported by National Natural Science Foundation of China (国家自然科学基金, 62005164), Shanghai Rising-Star Program (上海市青年科技启明星项目, 20QA1404100)

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

CHENG Ke1,2, HU Xiaonan1,2, HE Yu1,2, MENG Weijia1,2, LUAN Haitao1,2, GU Min1,2, FANG Xinyuan1,2*

( 1 Institute of Photonic Chips, University of Shanghai for Science and Technology, Shanghai 200093, China; 2 Centre for Artificial-Intelligence Nanophotonics, School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China )

Received:2021-10-06 Revised:2021-11-19 Published:2022-03-28 Online:2022-03-28

摘要/Abstract

摘要： 完美涡旋光束(POVB) 是径向强度分布和半径均与光束轨道角动量(OAM) 状态无关的一类涡旋光, 已被应用于光学操控、光通信、激光材料处理等领域。其中, POVB 轨道角动量状态的探测是关键且有挑战的技术。本研究通过并行梯度下降算法, 构建了光学衍射神经网络(DNN), 实验上实现了轨道角动量阶数在 -50 ~ +50 范围内的POVB 的识别。在此过程中, 衍射转换效率可达58%。本研究为POVB 的OAM 探测提供了新的思路, 在POVB 的各类应用中均存在潜在应用价值。

关键词: 傅里叶光学, 轨道角动量探测, 光学衍射神经网络, 完美涡旋光束

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

中图分类号:

O438.2

成科, 胡晓楠, 贺瑜, 孟维佳, 栾海涛, 顾敏, 方心远, . 基于光学衍射神经网络的完美涡旋光轨道角动量识别[J]. 量子电子学报, 2022, 39(2): 262-271.

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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基于光学衍射神经网络的完美涡旋光轨道角动量识别

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

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基于光学衍射神经网络的完美涡旋光 轨道角动量识别

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

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基于光学衍射神经网络的完美涡旋光轨道角动量识别