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https://hdl.handle.net/10356/138875| Title: | Determinating full parameters of U-matrix for reconfigurable Boson sampling circuits using machine learning | 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 |
Keywords: | Engineering::Electrical and electronic engineering::Optics, optoelectronics, photonics | Issue Date: | 2018 | Source: | Wan, L. X., Zhang, H., Huang, J. G., Zhang, G., Kwek, L. C., Fitzsimons, J., . . . Liu, A. Q. (2018). Determinating full parameters of U-matrix for reconfigurable Boson sampling circuits using machine learning. 2018 Conference on Lasers and Electro-Optics (CLEO): Applications and Technology, FM1G.2-. doi:10.1364/CLEO_AT.2018.JTh2A.18 | Project: | NRF-CRP13-2014-01 | 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. | URI: | https://hdl.handle.net/10356/138875 | ISBN: | 9781943580422 | DOI: | 10.1364/CLEO_AT.2018.JTh2A.18 | Rights: | © The Author(s). All rights reserved. This paper was published by Optical Society of America (OSA) in 2018 Conference on Lasers and Electro-Optics (CLEO): Applications and Technology and is made available with permission of the author(s). | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
| Appears in Collections: | EEE Conference Papers |
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| Determinating Full Parameters of U-Matrix for Reconfigurable Boson Sampling Circuits using Machine Learning.pdf | 724.66 kB | Adobe PDF | View/Open |
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