Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs

11/23/2021

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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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Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs

Data-driven Modeling of Mach-Zehnder Interferometer-based Optical Matrix Multipliers

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Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs

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