Multiplexed orbital angular momentum beams demultiplexing using hybrid optical-electronic convolutional neural network

Multiplexed orbital angular momentum beams demultiplexing using hybrid optical-electronic convolutional neural network

Abstract Advancements in optical communications have increasingly focused on leveraging spatial-structured beams such as orbital angular momentum (OAM) beams for high-capacity data transmission. Conventional electronic convolutional neural networks exhibit constraints in efficiently demultiplexing O...

Full description

Bibliographic Details
Main Authors: Jiachi Ye, Haoyan Kang, Qian Cai, Zibo Hu, Maria Solyanik-Gorgone, Hao Wang, Elham Heidari, Chandraman Patil, Mohammad-Ali Miri, Navid Asadizanjani, Volker Sorger, Hamed Dalir
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Communications Physics
Online Access:https://doi.org/10.1038/s42005-024-01571-3

Internet

https://doi.org/10.1038/s42005-024-01571-3

Similar Items