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Cited by 26Quantum Information and CryptographyQuantum Mechanics and ApplicationsQuantum Computing Algorithms and Architecture

Entanglement quantification from collective measurements processed by machine learning

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Roik, Jan, Bartkiewicz, Karol, Černoch, Antonín, Lemr, Karel·2022·Physics Letters A
DOI 10.1016/j.physleta.2022.128270
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  • The setup applied in this work was also used earlier in Refs.48-51 for conceptually different tasks.

    “We note that the setup applied in this work was also used earlier in Refs.48–51, but for conceptually different tasks, e.g., measuring collective nonlinear witnesses of entanglement52,53, Bell nonlocality measure54, or diagnosing an entanglement-swapping protocol.”

    From Experimental hierarchy of two-qubit quantum correlations without state tomography (2023) · cites this paper as [51]

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Cited by

Sorted by citations

Authors
Roik, J., Bartkiewicz, K., Černoch, A., & Lemr, K.
Affiliations
Czech Academy of Sciences (CZ)
Corresponding author
  • Roik, Jan
  • Bartkiewicz, Karol
  • Černoch, Antonín
  • Lemr, Karel
ORCID
Venue
Physics Letters A
Publisher
Elsevier BV
Published
2022-09
Volume
446
Pages
128270
ISSN
0375-9601 (ISSN-L)
DOI
10.1016/j.physleta.2022.128270
OpenAlex
W4226172983
Cited by
26
References
3
Citations by year
2026: 2 · 2025: 12 · 2024: 7 · 2023: 5
FWCI
1.98
Type
journal article
Language
en
Open access
Licence
Locations
  • Physics Letters A (publishedVersion)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University)
Funders
  • Grantová Agentura České Republiky (20-17765S)
  • Narodowe Centrum Nauki (DEC-2019/34/A/ST2/00081)
  • Univerzita Palackého v Olomouci (DSGC-2021-0026)
  • Ministerstvo Školství, Mládeže a Tělovýchovy
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Information and Cryptography
  • Physical Sciences › Physics and Astronomy › Atomic and Molecular Physics, and Optics › Quantum Mechanics and Applications
  • Physical Sciences › Computer Science › Artificial Intelligence › Quantum Computing Algorithms and Architecture
Keywords
entanglement quantification, collective measurements, artificial neural networks, entanglement negativity, two-qubit states, quantum communication networks

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