用机器学习确定可重构玻色子采样电路u矩阵的全参数

2018 Conference on Lasers and Electro-Optics (CLEO) Pub Date : 2018-05-13 DOI:10.1364/CLEO_AT.2018.JTH2A.18

L. Wan, H. Zhang, J. G. Huang, G. Zhang, L. Kwek, J. Fitzsimons, Y. Chong, J. B. Gong, A. Szameit, X. Zhou, M. Yung, X. Jin, X. Su, W. Ser, W. Gao, A. Liu

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引用次数: 0

摘要

提出了一种利用机器学习将可重构硅光子电路调谐为任意幺正算子的方法，绕过传统的相位电压校准过程，直接对外加加热电压进行预测。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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.

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2018 Conference on Lasers and Electro-Optics (CLEO)

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