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https://hdl.handle.net/10356/138819| Title: | Machine learning applied in reconstruction of unitary matrix for quantum computation | Authors: | Zhang, Haochi Cai, H. Paesani, S. Santagati, R. Laing, A. Kwek, L. C. Liu, Ai Qun |
Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2019 | Source: | Zhang, H., Cai, H., Paesani, S., Santagati, R., Laing, A., Kwek, L. C., & Liu, A. Q. (2019). Machine learning applied in reconstruction of unitary matrix for quantum computation. 2019 Conference on Lasers and Electro-Optics (CLEO): Applications and Technolog, JTu2A-124-. doi:10.1364/CLEO_AT.2019.JTu2A.124 | Abstract: | Optimal method are applied in characterizing and reconstructing designed unitary matrices on linear optical circuit. The scheme is based on the measurement of single-photon and two-photon statistics using coherent beams. | URI: | https://hdl.handle.net/10356/138819 | ISBN: | 9781943580576 | DOI: | 10.1364/CLEO_AT.2019.JTu2A.124 | Rights: | © 2019 The Author(s). All rights reserved. This paper was published by Optical Society of America (OSA) in 2019 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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| Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation.pdf | 767.96 kB | Adobe PDF | View/Open |
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