Bayesian reconstruction of biphoton frequency correlations

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.

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Published in:	2020 IEEE Photonics Conference (IPC) pp. 1 - 2
Main Authors:	Simmerman, Emma M., Lu, Hsuan-Hao, Weiner, Andrew M., Lukens, Joseph M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-09-2020
Subjects:	Bayes methods Error correction Error correction codes Estimation Frequency measurement Length measurement Photonics
Online Access:	Get full text
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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.
AbstractList	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.
Author	Lukens, Joseph M. Weiner, Andrew M. Simmerman, Emma M. Lu, Hsuan-Hao
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Snippet	We apply Bayesian mean estimation to retrieve high-dimensional spectral correlations of a biphoton frequency comb. Our method is more general than previous...
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SubjectTerms	Bayes methods Error correction Error correction codes Estimation Frequency measurement Length measurement Photonics
Title	Bayesian reconstruction of biphoton frequency correlations
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