Bayesian reconstruction of biphoton frequency correlations

Emma M. Simmerman, Hsuan Hao Lu, Andrew M. Weiner, Joseph M. Lukens

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We apply Bayesian mean estimation to retrieve high-dimensional spectral correlations of a biphoton frequency comb. Our method is more general than previous techniques involving compressive sensing, and significantly more efficient than raster scanning.

Original languageEnglish
Title of host publication2020 IEEE Photonics Conference, IPC 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728158914
DOIs
StatePublished - Sep 2020
Externally publishedYes
Event2020 IEEE Photonics Conference, IPC 2020 - Virtual, Vancouver, Canada
Duration: Sep 28 2020Oct 1 2020

Publication series

Name2020 IEEE Photonics Conference, IPC 2020 - Proceedings

Conference

Conference2020 IEEE Photonics Conference, IPC 2020
Country/TerritoryCanada
CityVirtual, Vancouver
Period09/28/2010/1/20

Funding

We thank AdvR, Inc., for loaning the PPLN ridge waveguide. This research was performed in part at Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U.S. Department of Energy under contract no. DE-AC05-00OR22725. Funding was provided by the U.S. Department of Energy, Office of Science, under the Office of Workforce Development for Teachers and Scientists (WDTS) Science Undergraduate Laboratory Internship program, and the Office of Advanced Scientific Computing Research, Early Career Research program.

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