Hybrid training of optical neural networks

Optical neural networks are emerging as a promising type of machine learning hardware capable of energy-efficient, parallel computation. Today’s optical neural networks are mainly developed to perform optical inference after in silico training on digital simulators. However, various physical imperfe...

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Veröffentlicht in:Optica 2022-07, Vol.9 (7), p.803
Hauptverfasser: Spall, James, Guo, Xianxin, Lvovsky, A. I.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
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