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/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781943580279
ISBN (Print)	978-1-943580-27-9
DOIs	https://doi.org/10.1364/CLEO_QELS.2017.FTu1F.5
Publication status	Published - 25 Oct 2017
Event	2017 Conference on Lasers and Electro-Optics (CLEO 2017) - San Jose, United States Duration: 14 May 2017 → 19 May 2017

Conference

Conference	2017 Conference on Lasers and Electro-Optics (CLEO 2017)
Abbreviated title	CLEO 2017
Country/Territory	United States
City	San Jose
Period	14/05/17 → 19/05/17

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10.1364/CLEO_QELS.2017.FTu1F.5

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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). Article FTu1F Institute of Electrical and Electronics Engineers. https://doi.org/10.1364/CLEO_QELS.2017.FTu1F.5

@inproceedings{1a03537e32604378a501748ff2be0aaf,

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 = "978-1-943580-27-9",

pages = "1--2",

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

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

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

}

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., FTu1F, Institute of Electrical and Electronics Engineers, Piscataway, 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. Piscataway: Institute of Electrical and Electronics Engineers, 2017. p. 1-2 FTu1F.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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

AU - Wang, J.

AU - Paesani, S.

AU - Santagati, R.

AU - Knauer, S.

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.

PY - 2017/10/25

Y1 - 2017/10/25

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.

UR - https://www.scopus.com/pages/publications/85020654747

U2 - 10.1364/CLEO_QELS.2017.FTu1F.5

DO - 10.1364/CLEO_QELS.2017.FTu1F.5

M3 - Conference contribution

AN - SCOPUS:85020654747

SN - 978-1-943580-27-9

SP - 1

EP - 2

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

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 2017 Conference on Lasers and Electro-Optics (CLEO 2017)

Y2 - 14 May 2017 through 19 May 2017

ER -

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

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