@inproceedings{cceda0928bc544f386e0a3d1ed0dd126,
title = "Determinating Full Parameters of U-Matrix for Reconfigurable Boson Sampling Circuits using Machine Learning",
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.",
author = "Wan, \{L. X.\} and H. Zhang and Huang, \{J. G.\} and G. Zhang and Kwek, \{L. C.\} and J. Fitzsimons and Chong, \{Y. D.\} and Gong, \{J. B.\} and A. Szameit and Zhou, \{X. Q.\} and Yung, \{M. H.\} and Jin, \{X. M.\} and Su, \{X. L.\} and W. Ser and Gao, \{W. B.\} and Liu, \{A. Q.\}",
note = "Publisher Copyright: {\textcopyright} 2018 OSA.; 2018 Conference on Lasers and Electro-Optics, CLEO 2018 ; Conference date: 13-05-2018 Through 18-05-2018",
year = "2018",
month = aug,
day = "6",
language = "English",
isbn = "9781943580422",
series = "2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 Conference on Lasers and Electro-Optics, CLEO 2018 - Proceedings",
}