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 proceedingConference 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 languageEnglish (US)
Title of host publicationCLEO
Subtitle of host publicationQELS_Fundamental Science, CLEO_QELS 2019
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - Jan 1 2019
EventCLEO: QELS_Fundamental Science, CLEO_QELS 2019 - San Jose, United States
Duration: May 5 2019May 10 2019

Publication series

NameOptics InfoBase Conference Papers
VolumePart F128-CLEO_QELS 2019

Conference

ConferenceCLEO: QELS_Fundamental Science, CLEO_QELS 2019
CountryUnited States
CitySan Jose
Period5/5/195/10/19

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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  • 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 CLEO: QELS_Fundamental Science, CLEO_QELS 2019 (Optics InfoBase Conference Papers; Vol. Part F128-CLEO_QELS 2019). OSA - The Optical Society. https://doi.org/10.1364/CLEO-QELS.2019.FF1F.4