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Binarization of multioutcome measurements in high-dimensional quantum correlation experiments

Tavakoli, Armin LU ; Uola, Roope and Pauwels, Jef (2025) In Physical Review A 111(4).
Abstract

High-dimensional systems are an important frontier for photonic quantum correlation experiments. These correlation tests commonly prescribe measurements with many possible outcomes but they are often implemented through many individual binary-outcome measurements that use only a single-detector. Here, we discuss how this binarization procedure for multioutcome measurements can open a loophole, unless specific device-characterization assumptions are satisfied. We highlight that correlation tests designed for multioutcome measurements can be trivialized in binarized implementations and we then show how to accurately analyze binarized data to reveal their quantum features. For seminal types of correlation experiments, such as Bell... (More)

High-dimensional systems are an important frontier for photonic quantum correlation experiments. These correlation tests commonly prescribe measurements with many possible outcomes but they are often implemented through many individual binary-outcome measurements that use only a single-detector. Here, we discuss how this binarization procedure for multioutcome measurements can open a loophole, unless specific device-characterization assumptions are satisfied. We highlight that correlation tests designed for multioutcome measurements can be trivialized in binarized implementations and we then show how to accurately analyze binarized data to reveal their quantum features. For seminal types of correlation experiments, such as Bell inequality tests, steering tests and prepare-and-measure experiments, we find that binarization may incur a sizable cost in the magnitude of quantum advantages. This emphasizes the importance of both accurate data analysis and implementing genuinely multioutcome measurements in high-dimensional correlation experiments.

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author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Physical Review A
volume
111
issue
4
article number
042433
publisher
American Physical Society
external identifiers
  • scopus:105004262530
ISSN
2469-9926
DOI
10.1103/PhysRevA.111.042433
language
English
LU publication?
yes
id
e87bf70d-9af1-49c5-ab58-35bd43d31115
date added to LUP
2025-08-12 11:37:40
date last changed
2025-08-12 12:03:20
@article{e87bf70d-9af1-49c5-ab58-35bd43d31115,
  abstract     = {{<p>High-dimensional systems are an important frontier for photonic quantum correlation experiments. These correlation tests commonly prescribe measurements with many possible outcomes but they are often implemented through many individual binary-outcome measurements that use only a single-detector. Here, we discuss how this binarization procedure for multioutcome measurements can open a loophole, unless specific device-characterization assumptions are satisfied. We highlight that correlation tests designed for multioutcome measurements can be trivialized in binarized implementations and we then show how to accurately analyze binarized data to reveal their quantum features. For seminal types of correlation experiments, such as Bell inequality tests, steering tests and prepare-and-measure experiments, we find that binarization may incur a sizable cost in the magnitude of quantum advantages. This emphasizes the importance of both accurate data analysis and implementing genuinely multioutcome measurements in high-dimensional correlation experiments.</p>}},
  author       = {{Tavakoli, Armin and Uola, Roope and Pauwels, Jef}},
  issn         = {{2469-9926}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{American Physical Society}},
  series       = {{Physical Review A}},
  title        = {{Binarization of multioutcome measurements in high-dimensional quantum correlation experiments}},
  url          = {{http://dx.doi.org/10.1103/PhysRevA.111.042433}},
  doi          = {{10.1103/PhysRevA.111.042433}},
  volume       = {{111}},
  year         = {{2025}},
}