Merging Machine Learning with Quantum Photonics: Rapid Classification of Quantum Sources

Zhaxylyk Kudyshev; Simeon Bogdanov; Theodor Isacsson; Alexander V. Kildishev; Alexandra Boltasseva; Vladimir M. Shalaev

Merging Machine Learning with Quantum Photonics: Rapid Classification of Quantum Sources

Zhaxylyk Kudyshev, Simeon Bogdanov, Theodor Isacsson, Alexander V. Kildishev, Alexandra Boltasseva, Vladimir M. Shalaev

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Single quantum emitters offer useful functionalities for quantum optics, but measurements of their properties are time-consuming. We demonstrate that machine learning dramatically reduces data collection time (1s), increasing the accuracy of second-order autocorrelation measurements (>90%).

Original language	English (US)
Title of host publication	2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580767
State	Published - May 2020
Externally published	Yes
Event	2020 Conference on Lasers and Electro-Optics, CLEO 2020 - San Jose, United States Duration: May 10 2020 → May 15 2020

Publication series

Name	Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS
Volume	2020-May
ISSN (Print)	1092-8081

Conference

Conference	2020 Conference on Lasers and Electro-Optics, CLEO 2020
Country/Territory	United States
City	San Jose
Period	5/10/20 → 5/15/20

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

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Kudyshev, Z., Bogdanov, S., Isacsson, T., Kildishev, A. V., Boltasseva, A., & Shalaev, V. M. (2020). Merging Machine Learning with Quantum Photonics: Rapid Classification of Quantum Sources. In 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings Article 9193274 (Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS; Vol. 2020-May). Institute of Electrical and Electronics Engineers Inc..

Merging Machine Learning with Quantum Photonics: Rapid Classification of Quantum Sources. / Kudyshev, Zhaxylyk; Bogdanov, Simeon; Isacsson, Theodor et al.
2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. 9193274 (Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS; Vol. 2020-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kudyshev, Z, Bogdanov, S, Isacsson, T, Kildishev, AV, Boltasseva, A & Shalaev, VM 2020, Merging Machine Learning with Quantum Photonics: Rapid Classification of Quantum Sources. in 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings., 9193274, Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS, vol. 2020-May, Institute of Electrical and Electronics Engineers Inc., 2020 Conference on Lasers and Electro-Optics, CLEO 2020, San Jose, United States, 5/10/20.

Kudyshev Z, Bogdanov S, Isacsson T, Kildishev AV, Boltasseva A, Shalaev VM. Merging Machine Learning with Quantum Photonics: Rapid Classification of Quantum Sources. In 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. 9193274. (Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS).

Kudyshev, Zhaxylyk ; Bogdanov, Simeon ; Isacsson, Theodor et al. / Merging Machine Learning with Quantum Photonics : Rapid Classification of Quantum Sources. 2020 Conference on Lasers and Electro-Optics, CLEO 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. (Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS).

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abstract = "Single quantum emitters offer useful functionalities for quantum optics, but measurements of their properties are time-consuming. We demonstrate that machine learning dramatically reduces data collection time (1s), increasing the accuracy of second-order autocorrelation measurements (>90%).",

author = "Zhaxylyk Kudyshev and Simeon Bogdanov and Theodor Isacsson and Kildishev, {Alexander V.} and Alexandra Boltasseva and Shalaev, {Vladimir M.}",

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Merging Machine Learning with Quantum Photonics: Rapid Classification of Quantum Sources

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