Identification of light sources using machine learning-Reference-Cited by-同舟云学术

Identification of light sources using machine learning

Published:2020-06 Issue:2 Volume:7 Page:021404
ISSN:1931-9401
Container-title:Applied Physics Reviews
language:en
Short-container-title:Applied Physics Reviews

Author:

You Chenglong¹^ORCID,Quiroz-Juárez Mario A.²^ORCID,Lambert Aidan¹,Bhusal Narayan¹^ORCID,Dong Chao¹,Perez-Leija Armando³,Javaid Amir¹,León-Montiel Roberto de J.²^ORCID,Magaña-Loaiza Omar S.¹

Affiliation:

1. Quantum Photonics Laboratory, Department of Physics and Astronomy, Louisiana State University, Baton Rouge, Louisiana 70803, USA

2. Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Apartado Postal 70–543, 04510 Ciudad de México, Mexico

3. Max-Born-Institut, Max-Born-Straße 2A, 12489 Berlin, Germany

Funder

National Science Foundation

Consejo Nacional de Ciencia y Tecnología

Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México

Army Research Office

Louisiana State University

Deutsche Forschungsgemeinschaft within the priority program SPP 1839 “Tailored Disorder”

Publisher

AIP Publishing

Subject

General Physics and Astronomy

Link

http://aip.scitation.org/doi/am-pdf/10.1063/1.5133846

Reference43 articles.

1. The Quantum Theory of Optical Coherence

2. Optical Coherence and Quantum Optics

3. Sub-Poissonian photon statistics in resonance fluorescence

4. Coherence Properties of Optical Fields

5. Nth-order coherence of thermal light

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