Add to BibSonomy
Abstract
Orbital angular momentum (OAM) is one of multiple dimensions of beams. A beam can carry multiple OAM components, and their intensity weights form the OAM spectrum. The OAM spectrum determines complex amplitude distributions of a beam and features unique characteristics. Thus, measuring the OAM spectrum is of great significance, especially for OAM-based applications. Here we employ a deep neural network combined with a phase-only diffraction optical element to measure the OAM spectrum. The diffraction optical element is designed to diffract incident beams into distinct patterns corresponding to OAM distributions. Then, the EfficientNet, a kind of deep neural network, is adjusted to adapt and analyze the diffraction pattern to calculate the OAM spectrum. The favorable experimental results show that our proposal can reconstruct the OAM spectra with high precision and speed, works well for different numbers of OAM channels, and is also robust to Gaussian noise and random zooming. This work opens a new, to the best of our knowledge, ability for OAM spectrum recognition and will find applications in a number of advanced domains including large capacity optical communications, quantum key distribution, optical trapping, rotation detection, and so on.
© 2022 Optica Publishing Group
Full Article | PDF ArticleMore Like This
Shiyun Zhou, Lang Li, Chunqing Gao, and Shiyao Fu
Opt. Lett. 49(1) 173-176 (2024)
Yanlai Lv, Zijun Shang, Shiyao Fu, Lei Huang, Liliang Gao, and Chunqing Gao
Opt. Lett. 47(19) 5032-5035 (2022)
Shikang Li, Peng Zhao, Xue Feng, Kaiyu Cui, Fang Liu, Wei Zhang, and Yidong Huang
Opt. Lett. 43(19) 4607-4610 (2018)