Data-efficient Modeling of Optical Matrix Multipliers Using Transfer Learning

11/29/2022

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by   Ali Cem, et al.

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We demonstrate transfer learning-assisted neural network models for optical matrix multipliers with scarce measurement data. Our approach uses <10% of experimental data needed for best performance and outperforms analytical models for a Mach-Zehnder interferometer mesh.