End-to-End Optimization for a Compact Optical Neural Network Based on Nanostructured 2 × 2 Optical Processors

End-to-End Optimization for a Compact Optical Neural Network Based on Nanostructured 2 × 2 Optical Processors

Recent research in silicon photonic chips has made huge progress in optical computing owing to their high speed, small footprint, and low energy consumption. Here, we employ nanostructured 2 × 2 optical processors in an optical neural network for implementing a binary classification task...

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Bibliographic Details
Main Authors: Caiyue Zhao, Jiguang Wang, Simei Mao, Xuanyi Liu, Wai Kin Victor Chan, H. Y. Fu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Photonics Journal
Subjects:
Digitized meta-structure
optical computing
optical neural networks
reinforcement learning
Online Access:https://ieeexplore.ieee.org/document/10234101/

Internet

https://ieeexplore.ieee.org/document/10234101/

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