Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation

H. Zhang; H. Cai; D. Paesani; R. Santagati; A. Laing; L. C. Kwek; A. Q. Liu

doi:10.23919/CLEO.2019.8749941

Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation

H. Zhang, H. Cai, D. Paesani, R. Santagati, A. Laing, L. C. Kwek, A. Q. Liu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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.

Original language	English
Title of host publication	2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580576
DOIs	https://doi.org/10.23919/CLEO.2019.8749941
Publication status	Published - May 2019
Externally published	Yes
Event	2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States Duration: 5 May 2019 → 10 May 2019

Publication series

Name	2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings

Conference

Conference	2019 Conference on Lasers and Electro-Optics, CLEO 2019
Country/Territory	United States
City	San Jose
Period	5/05/19 → 10/05/19

ASJC Scopus subject areas

Spectroscopy
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality
Management, Monitoring, Policy and Law
Electronic, Optical and Magnetic Materials
Radiology Nuclear Medicine and imaging
Instrumentation
Atomic and Molecular Physics, and Optics

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10.23919/CLEO.2019.8749941

Cite this

Zhang, H., Cai, H., Paesani, D., Santagati, R., Laing, A., Kwek, L. C., & Liu, A. Q. (2019). Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation. In 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings Article 8749941 (2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/CLEO.2019.8749941

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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.",

author = "H. Zhang and H. Cai and D. Paesani and R. Santagati and A. Laing and Kwek, {L. C.} and Liu, {A. Q.}",

note = "Funding Information: 5. Acknowledgement This work was supported by the Singapore National Research Foundation under the Competitive Research Program (NRF2014NRF-CRP001-002). Publisher Copyright: {\textcopyright} 2019 The Author(s) 2019 OSA.; 2019 Conference on Lasers and Electro-Optics, CLEO 2019 ; Conference date: 05-05-2019 Through 10-05-2019",

year = "2019",

month = may,

doi = "10.23919/CLEO.2019.8749941",

language = "English",

series = "2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Zhang, H, Cai, H, Paesani, D, Santagati, R, Laing, A, Kwek, LC & Liu, AQ 2019, Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation. in 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings., 8749941, 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 Conference on Lasers and Electro-Optics, CLEO 2019, San Jose, United States, 5/05/19. https://doi.org/10.23919/CLEO.2019.8749941

Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation. / Zhang, H.; Cai, H.; Paesani, D. et al.
2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8749941 (2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Laing, A.

AU - Kwek, L. C.

AU - Liu, A. Q.

N1 - Funding Information: 5. Acknowledgement This work was supported by the Singapore National Research Foundation under the Competitive Research Program (NRF2014NRF-CRP001-002). Publisher Copyright: © 2019 The Author(s) 2019 OSA.

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N2 - 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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M3 - Conference article published in proceeding or book

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T3 - 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings

BT - 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 Conference on Lasers and Electro-Optics, CLEO 2019

Y2 - 5 May 2019 through 10 May 2019

ER -

Zhang H, Cai H, Paesani D, Santagati R, Laing A, Kwek LC et al. Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation. In 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8749941. (2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings). doi: 10.23919/CLEO.2019.8749941

Machine Learning Applied in Reconstruction of Unitary Matrix for Quantum Computation

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