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Conferences > OFC > 2022 > M2G > M2G.5

Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs

A. Cem, S. Yan, U.C. de Moura, Y. Ding, D. Zibar, and F. Da Ros

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Abstract

We experimentally compare simple physics-based vs. data-driven neural-network-based models for offline training of programmable photonic chips using Mach-Zehnder interferometer meshes. The neural-network model outperforms physics-based models for a chip with thermal crosstalk, yielding increased testing accuracy.

© 2022 The Author(s)

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