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arXiv · 2111.14787

Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs

Ali Cem·Siqi Yan·Uiara Celine de Moura·Yunhong Ding·Darko Zibar·Francesco 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.

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Ali Cem, Siqi Yan, Uiara Celine de Moura, Yunhong Ding, Darko Zibar, Francesco Da Ros. 2021-11-23. Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs. https://arxiv.org/abs/2111.14787

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