Inverse design of an integrated-nanophotonics optical neural network
Abstract
Artificial neural networks have dramatically improved the performance of many machine-learning applications such as image recognition and natural language processing. However, the electronic hardware implementations of the above-mentioned tasks are facing performance ceiling because Moore's Law is slowing down. In this article, we propose an optical neural network architecture based on optical scattering units to implement deep learning tasks...
Paper Details
Title
Inverse design of an integrated-nanophotonics optical neural network
Published Date
Jul 1, 2020
Journal
Volume
65
Issue
14
Pages
1177 - 1183
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