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Determinating Full Parameters of U-Matrix for Reconfigurable Boson Sampling Circuits using Machine Learning

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Abstract

A method of tuning a reconfigurable silicon photonic circuit into an arbitrary unitary operator with machine learning was proposed to bypass the traditional phase-voltage calibration process and make the prediction of applied heating voltage directly.

© 2018 The Author(s)

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