Inference and Gradient Measurement for Backpropagation in Photonic Neural Networks

Sunil Pai, Tyler W. Hughes, Taewon Park, Ben Bartlett, Ian Williamson, Momchil Minkov, Maziyar Milanizadeh, Nathnael Abebe, Francesco Morichetti, Andrea Melloni, Olav Solgaard, Shanhui Fan, David A.B. Miller

Research output: Contribution to journalConference articlepeer-review

Abstract

We experimentally demonstrate in situ backpropagation in a programmable nanophotonic interferometer network, achieving inference accuracies matching digital implementations. Error gradients are computed by simultaneously measuring optical interference at intermediate network components, eliminating expensive digital computations.

Original languageEnglish
Article numberSTh5G.2
JournalOptics InfoBase Conference Papers
Publication statusPublished - 2022
Externally publishedYes
EventCLEO: Science and Innovations, S and I 2022 - San Jose, United States
Duration: 15 May 202220 May 2022

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