Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning

Chaohan Cui; Yi Xia; Saikat Guha; Nasser Peyghambarian; Zheshen Zhang

doi:10.23919/CLEO.2019.8749575

Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning

Chaohan Cui, Yi Xia, Saikat Guha, Nasser Peyghambarian, Zheshen Zhang

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

Abstract

We report a recipe for optimized poling design to generate spectrally-pure photons around 1550 nm. Our approach hinges on machine-learning techniques without requiring group-velocity matching.

Original language	English (US)
Title of host publication	2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580576
DOIs	https://doi.org/10.23919/CLEO.2019.8749575
State	Published - May 2019
Event	2019 Conference on Lasers and Electro-Optics, CLEO 2019 - San Jose, United States Duration: May 5 2019 → May 10 2019

Publication series

Name	2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings

Conference

Conference	2019 Conference on Lasers and Electro-Optics, CLEO 2019
Country/Territory	United States
City	San Jose
Period	5/5/19 → 5/10/19

ASJC Scopus subject areas

Spectroscopy
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality
Management, Monitoring, Policy and Law
Electronic, Optical and Magnetic Materials
Radiology Nuclear Medicine and imaging
Instrumentation
Atomic and Molecular Physics, and Optics

Access to Document

10.23919/CLEO.2019.8749575

Cite this

Cui, C., Xia, Y., Guha, S., Peyghambarian, N., & Zhang, Z. (2019). Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning. In 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings Article 8749575 (2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/CLEO.2019.8749575

Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning. / Cui, Chaohan; Xia, Yi; Guha, Saikat et al.
2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8749575 (2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings).

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

Cui, C, Xia, Y, Guha, S , Peyghambarian, N & Zhang, Z 2019, Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning. in 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings., 8749575, 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 Conference on Lasers and Electro-Optics, CLEO 2019, San Jose, United States, 5/5/19. https://doi.org/10.23919/CLEO.2019.8749575

Cui C, Xia Y, Guha S , Peyghambarian N , Zhang Z. Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning. In 2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8749575. (2019 Conference on Lasers and Electro-Optics, CLEO 2019 - Proceedings). doi: 10.23919/CLEO.2019.8749575

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abstract = "We report a recipe for optimized poling design to generate spectrally-pure photons around 1550 nm. Our approach hinges on machine-learning techniques without requiring group-velocity matching.",

author = "Chaohan Cui and Yi Xia and Saikat Guha and Nasser Peyghambarian and Zheshen Zhang",

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Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning

Abstract

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Conference

ASJC Scopus subject areas

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