Machine learning applied in reconstruction of unitary matrix for quantum computation
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.
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2020
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| Online Access: | https://hdl.handle.net/10356/138819 |
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sg-ntu-dr.10356-1388192020-05-26T04:17:45Z Machine learning applied in reconstruction of unitary matrix for quantum computation Zhang, Haochi Cai, H. Paesani, S. Santagati, R. Laing, A. Kwek, L. C. Liu, Ai Qun School of Electrical and Electronic Engineering 2019 Conference on Lasers and Electro-Optics (CLEO): Applications and Technology Engineering::Electrical and electronic engineering Optical Design Photonics 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. NRF (Natl Research Foundation, S’pore) Accepted version 2020-05-13T03:26:43Z 2020-05-13T03:26:43Z 2019 Conference Paper 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 9781943580576 https://hdl.handle.net/10356/138819 10.1364/CLEO_AT.2019.JTu2A.124 2-s2.0-85068127346 en © 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). application/pdf |
| institution |
Nanyang Technological University |
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NTU Library |
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Singapore |
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| language |
English |
| topic |
Engineering::Electrical and electronic engineering Optical Design Photonics |
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Engineering::Electrical and electronic engineering Optical Design Photonics Zhang, Haochi Cai, H. Paesani, S. Santagati, R. Laing, A. Kwek, L. C. Liu, Ai Qun Machine learning applied in reconstruction of unitary matrix for quantum computation |
| description |
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. |
| author2 |
School of Electrical and Electronic Engineering |
| author_facet |
School of Electrical and Electronic Engineering Zhang, Haochi Cai, H. Paesani, S. Santagati, R. Laing, A. Kwek, L. C. Liu, Ai Qun |
| format |
Conference or Workshop Item |
| author |
Zhang, Haochi Cai, H. Paesani, S. Santagati, R. Laing, A. Kwek, L. C. Liu, Ai Qun |
| author_sort |
Zhang, Haochi |
| title |
Machine learning applied in reconstruction of unitary matrix for quantum computation |
| title_short |
Machine learning applied in reconstruction of unitary matrix for quantum computation |
| title_full |
Machine learning applied in reconstruction of unitary matrix for quantum computation |
| title_fullStr |
Machine learning applied in reconstruction of unitary matrix for quantum computation |
| title_full_unstemmed |
Machine learning applied in reconstruction of unitary matrix for quantum computation |
| title_sort |
machine learning applied in reconstruction of unitary matrix for quantum computation |
| publishDate |
2020 |
| url |
https://hdl.handle.net/10356/138819 |
| _version_ |
1681059499731845120 |