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

• المؤلفون الرئيسيون: 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
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics; Machine Learning; Heating Systems
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/138875

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.