Photonic Neural Networks Leveraging Novel Computing Operators

This invited paper will review our works on photonic neural networks (PNN) leveraging dataencoding enabled nonlinear operators, which offers us possibilities to achieve high-performance PNN without traditional nonlinear activation functions and mitigate the remaining challenges.

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Publication Details

Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11111226
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Photonic Neural Networks Leveraging Novel Computing Operators

Guangwei Cong
Neural Networks and Reservoir Computing
article

Photonic Neural Networks Leveraging Novel Computing Operators

Guangwei Cong
article en

Abstract

This invited paper will review our works on photonic neural networks (PNN) leveraging dataencoding enabled nonlinear operators, which offers us possibilities to achieve high-performance PNN without traditional nonlinear activation functions and mitigate the remaining challenges.

National Institute of Advanced Industrial Science and Technology (JP)
Japan Society for the Promotion of Science, Japan Science and Technology Agency
Openalex Percentile: Top 89%
Neural Networks and Reservoir Computing
DOISourceOpenAlex
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Photonic Neural Networks Leveraging Novel Computing Operators — Guangwei Cong · (2025) | TGRS Research Map | TGRS