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Open Quantum Systems Decoherence Quantum Machine Learning

Reconstruction of joint photon-number distributions of twin beams incorporating spatial noise reduction

arXiv

Authors: Jan Perina, Vaclav Michalek, Ondrej Haderka

Year

2018

Paper ID

22823

Status

Preprint

Abstract Read

~2 min

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Abstract

A method for reconstructing joint photon-number distributions of twin beams from the experimental photocount histograms is suggested and experimentally implemented. Contrary to the standard reconstruction methods, it incorporates spatial noise reduction based on spatial pairing of photons. Superior performance of the method above the usual one for the maximum-likelihood approach is demonstrated.

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This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
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A method for reconstructing joint photon-number distributions of twin beams from the experimental photocount histograms is suggested and experimentally implemented.

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References & Citation Signals

[1] DOI https://doi.org/arXiv:1812.03470 [2] arXiv https://arxiv.org/abs/1812.03470 [3] Publisher https://arxiv.org/abs/1812.03470

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