Machine Learning Assisted Quantum Photonics

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

doi:10.1364/QUANTUM.2020.QM6B.3

OSA Quantum 2.0 Conference
OSA Technical Digest (Optica Publishing Group, 2020),
paper QM6B.3
•https://doi.org/10.1364/QUANTUM.2020.QM6B.3

Machine Learning Assisted Quantum Photonics

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

Quantum 2.0 2020

Washington, DC United States
14–17 September 2020
ISBN: 978-1-943580-81-1

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Photonics III (QM6B)

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Z. Kudyshev, S. Bogdanov, T. Isacsson, A. V. Kildishev, A. Boltasseva, and V. M. Shalaev, "Machine Learning Assisted Quantum Photonics," in OSA Quantum 2.0 Conference, M. Raymer, C. Monroe, and R. Holzwarth, eds., OSA Technical Digest (Optica Publishing Group, 2020), paper QM6B.3.

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Abstract

The characterization of single quantum emitters is a time-consuming process. We have demonstrated that machine learning methods can dramatically reduce data collection time(<1s), and increase measurement accuracy of second-order fluorescence autocorrelation(>90%).

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