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Data-efficient Modeling of Optical Matrix Multipliers Using Transfer Learning

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arxiv 2211.16038 v1 pith:MEEPQ2IS submitted 2022-11-29 cs.LG cs.ETcs.NE

classification cs.LGcs.ETcs.NE
keywords datamatrixmodelsmultipliersopticaltransferanalyticalapproach
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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.

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