Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator

J. Wang; S. Paesani; R. Santagati; S. Knauer; A. A. Gentile; N. Wiebe; M. Petruzzella; A. Laing; J. G. Rarity; J. L. O'Brien; M. G. Thompson

doi:10.1364/CLEO_QELS.2017.FTu1F.5

Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator

J. Wang, S. Paesani, R. Santagati, S. Knauer, A. A. Gentile, N. Wiebe, M. Petruzzella, A. Laing, J. G. Rarity, J. L. O'Brien, M. G. Thompson

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

Abstract

We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silicon-photonics quantum simulator with the classical machine learning technique, we successfully learn the Hamiltonian dynamics of a diamond nitrogen-vacancy center's electron ground-state spin.

Original language	English
Title of host publication	2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781943580279
ISBN (Print)	9781943580279
DOIs	https://doi.org/10.1364/CLEO_QELS.2017.FTu1F.5
Publication status	Published - 25 Oct 2017
Externally published	Yes
Event	2017 Conference on Lasers and Electro-Optics, CLEO 2017 - San Jose, United States Duration: 14 May 2017 → 19 May 2017 https://www.cleoconference.org/library/images/cleo/Archive/CLEO-Archive-2017.pdf

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F42-CLEO_QELS 2017

Conference

Conference	2017 Conference on Lasers and Electro-Optics, CLEO 2017
Country/Territory	United States
City	San Jose
Period	14/05/17 → 19/05/17
Internet address	https://www.cleoconference.org/library/images/cleo/Archive/CLEO-Archive-2017.pdf

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10.1364/CLEO_QELS.2017.FTu1F.5

Cite this

Wang, J., Paesani, S., Santagati, R., Knauer, S., Gentile, A. A., Wiebe, N., Petruzzella, M., Laing, A., Rarity, J. G., O'Brien, J. L., & Thompson, M. G. (2017). Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator. In 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings (pp. 1-2). (Optics InfoBase Conference Papers; Vol. Part F42-CLEO_QELS 2017). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1364/CLEO_QELS.2017.FTu1F.5

@inproceedings{7d9242bf84ac41b7a52b53a5f056681e,

title = "Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator",

abstract = "We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silicon-photonics quantum simulator with the classical machine learning technique, we successfully learn the Hamiltonian dynamics of a diamond nitrogen-vacancy center's electron ground-state spin.",

author = "J. Wang and S. Paesani and R. Santagati and S. Knauer and Gentile, {A. A.} and N. Wiebe and M. Petruzzella and A. Laing and Rarity, {J. G.} and O'Brien, {J. L.} and Thompson, {M. G.}",

year = "2017",

month = oct,

day = "25",

doi = "10.1364/CLEO_QELS.2017.FTu1F.5",

language = "English",

isbn = "9781943580279",

series = "Optics InfoBase Conference Papers",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "1--2",

booktitle = "2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings",

address = "United States",

note = "2017 Conference on Lasers and Electro-Optics, CLEO 2017 ; Conference date: 14-05-2017 Through 19-05-2017",

url = "https://www.cleoconference.org/library/images/cleo/Archive/CLEO-Archive-2017.pdf",

}

Wang, J, Paesani, S, Santagati, R, Knauer, S, Gentile, AA, Wiebe, N, Petruzzella, M, Laing, A, Rarity, JG, O'Brien, JL & Thompson, MG 2017, Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator. in 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings. Optics InfoBase Conference Papers, vol. Part F42-CLEO_QELS 2017, IEEE, Institute of Electrical and Electronics Engineers, pp. 1-2, 2017 Conference on Lasers and Electro-Optics, CLEO 2017, San Jose, California, United States, 14/05/17. https://doi.org/10.1364/CLEO_QELS.2017.FTu1F.5

Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator. / Wang, J.; Paesani, S.; Santagati, R. et al.
2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 1-2 (Optics InfoBase Conference Papers; Vol. Part F42-CLEO_QELS 2017).

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

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T1 - Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator

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AU - Gentile, A. A.

AU - Wiebe, N.

AU - Petruzzella, M.

AU - Laing, A.

AU - Rarity, J. G.

AU - O'Brien, J. L.

AU - Thompson, M. G.

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N2 - We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silicon-photonics quantum simulator with the classical machine learning technique, we successfully learn the Hamiltonian dynamics of a diamond nitrogen-vacancy center's electron ground-state spin.

AB - We present the experimental demonstration of quantum Hamiltonian learning. Using an integrated silicon-photonics quantum simulator with the classical machine learning technique, we successfully learn the Hamiltonian dynamics of a diamond nitrogen-vacancy center's electron ground-state spin.

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U2 - 10.1364/CLEO_QELS.2017.FTu1F.5

DO - 10.1364/CLEO_QELS.2017.FTu1F.5

M3 - Conference paper

AN - SCOPUS:85020654747

SN - 9781943580279

T3 - Optics InfoBase Conference Papers

SP - 1

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BT - 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 2017 Conference on Lasers and Electro-Optics, CLEO 2017

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ER -

Wang J, Paesani S, Santagati R, Knauer S, Gentile AA, Wiebe N et al. Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator. In 2017 Conference on Lasers and Electro-Optics, CLEO 2017 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 1-2. (Optics InfoBase Conference Papers). doi: 10.1364/CLEO_QELS.2017.FTu1F.5

Learning nitrogen-vacancy electron spin dynamics on a silicon quantum photonic simulator

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