@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",
}