Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning | IEEE Conference Publication | IEEE Xplore
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Indistinguishable Photon Source in the 1550-nm Band Optimized by Machine Learning

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Chaohan Cui; Yi Xia; Saikat Guha; Nasser Peyghambarian; Zheshen Zhang
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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 gr...Show More

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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. © 2019 The Author(s)
Published in: 2019 Conference on Lasers and Electro-Optics (CLEO)
Date of Conference: 05-10 May 2019
Date Added to IEEE Xplore: 01 July 2019
ISBN Information:
Print on Demand(PoD) ISSN: 2160-8989
DOI: 10.1364/CLEO_QELS.2019.FF1F.4
Conference Location: San Jose, CA, USA
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