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Open Quantum Systems Decoherence Quantum Machine Learning

Improvement of optical image by measurement reduction technique at parametric multiplexing

arXiv
Authors: D. A. Balakin, A. S. Chirkin

Year

2018

Paper ID

22864

Status

Preprint

Abstract Read

~2 min

Abstract Words

103

Citations

N/A

Abstract

In the process of parametric optical image amplification, images are formed at new frequencies in addition to the amplified original image. We show that the parametric multiplexing of optical images can be used to produce an image with improved quality. As an example, we study the parametric amplification of an optical image at low-frequency pumping in which multiplexed optical images turn out to be quantum-correlated. Additional improvement is made possible by using the information about the object that is available to the researcher, in particular, about sparsity of its image. To take the available information into account, we apply the measurement reduction technique.

Why This Paper Matters

  • This paper contributes to the Quantum Machine Learning research area in the Quantum Articles archive.
  • It adds a 2018 reference point for readers tracking recent quantum research.
  • In the process of parametric optical image amplification, images are formed at new frequencies in addition to the amplified original image.

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