Please use this identifier to cite or link to this item: 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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