Determinating full parameters of U-matrix for reconfigurable Boson sampling circuits using machine learning

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.

Bibliographic Details
Main Authors: Wan, L. X., Zhang, Haochi, Huang, Jian Guo, Zhang, Gong, Kwek, L. C., Fitzsimons, J., Chong, Yi Dong, Gong, J. B., Szameit, A., Zhou, X. Q., Yung, M. H., Jin, X. M., Su, X. L., Ser, Wee, Gao, W. B., Liu, Ai Qun
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2020
Subjects:
Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics
Machine Learning
Heating Systems
Online Access:https://hdl.handle.net/10356/138875

Internet

https://hdl.handle.net/10356/138875

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