Abstract
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.
© 2023 The Author(s)
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