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

• 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 or Workshop Item
• 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
• Institution: Nanyang Technological University

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.