Coherent optical neural network with injection-locked VCSELs

Zaijun Chen; Alex Sludds; Ronald Davis; Liane Bernstein; Lamia Ateshian; Ian Christen; Tobias Heuser; James Lott; Stephan Reitzenstein; Dirk Englund; Ryan Hamerly; Ryan Hamerly

doi:10.1364/CLEO_SI.2022.STh5G.4

Conference on Lasers and Electro-Optics
Technical Digest Series (Optica Publishing Group, 2022),
paper STh5G.4
•https://doi.org/10.1364/CLEO_SI.2022.STh5G.4

Coherent optical neural network with injection-locked VCSELs

Zaijun Chen, Alex Sludds, Ronald Davis, Liane Bernstein, Lamia Ateshian, Ian Christen, Tobias Heuser, James Lott, Stephan Reitzenstein, Dirk Englund, and Ryan Hamerly

CLEO: Science and Innovations 2022

San Jose, California United States
15–20 May 2022
ISBN: 978-1-957171-05-0

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Neuromorphic Photonics (STh5G)

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Z. Chen, A. Sludds, R. Davis, L. Bernstein, L. Ateshian, I. Christen, T. Heuser, J. Lott, S. Reitzenstein, D. Englund, and R. Hamerly, "Coherent optical neural network with injection-locked VCSELs," in Conference on Lasers and Electro-Optics, Technical Digest Series (Optica Publishing Group, 2022), paper STh5G.4.

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Abstract

We demonstrate analog coherent homodyne photoelectric multiplication with phase-modulated VCSEL arrays (operating at V_π= 2 mV). Precise phase control over individual laser emitters enables MNIST image classification with accuracy near the ground truth.

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