Cited by 116Quantum Information and CryptographyQuantum Mechanics and ApplicationsQuantum Computing Algorithms and Architecture

Certifying the Dimension of Classical and Quantum Systems in a Prepare-and-Measure Scenario with Independent Devices

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Bowles, Joseph, Quintino, Marco Túlio, Brunner, Nicolas·2014·Physical Review Letters

Abstract

We consider the problem of testing the dimension of uncharacterized classical and quantum systems in a prepare-and-measure setup. Here we assume the preparation and measurement devices to be independent, thereby making the problem nonconvex. We present a simple method for generating nonlinear dimension witnesses for systems of arbitrary dimension. The simplest of our witnesses is highly robust to technical imperfections, and can certify the use of qubits in the presence of arbitrary noise and arbitrarily low detection efficiency. Finally, we show that this witness can be used to certify the presence of randomness, suggesting applications in quantum information processing.

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  • A positive value of the dimension witness could certify randomness in the independent two-dimensional subspace scenario, similar to how a Bell inequality violation certifies randomness in self-testing QRNG.

    “A positive value of this dimension witness could certify randomness in this scenario, similar to the fact that a violation of the Bell inequality could certify randomness of self-testing QRNG in Section ' Self-testing QRNG ' .”

    From Quantum random number generation (2016) · cites this paper as [86]

  • The randomness in the independent two-dimensional subspace scenario can be estimated by adopting a dimension witness.

    “The randomness can be estimated by adopting a dimension witness. 86”

    From Quantum random number generation (2016) · cites this paper as [86]

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Research works printed but not linked: 4

  1. C. Stark, arXiv:1209.5737. · arXiv
  2. See Supplemental Material at http://link.aps.org/ supplemental/10.1103/PhysRevLett.112.140407 for tight- ness of witness W 2 ; quantum strategy with MUBs.
  3. M. Dall'Arno, E. Passaro, R. Gallego, M. Pawlowski, and A. Acin, arXiv:1210.1272. · arXiv
  4. J. Pearl, Models, Reasoning and Inference (Cambridge University Press, Cambridge, England, 2000).

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Authors
Bowles, J., Quintino, M. T., & Brunner, N.
Affiliations
University of Geneva (CH)
Venue
Physical Review Letters
Published
2014-04-11
Volume
112
Issue
14
Pages
140407-140407
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2070059557
Cited by
116
References
22
Citations by year
2026: 7 · 2025: 4 · 2024: 13 · 2023: 16 · 2022: 7 · 2021: 13 · 2020: 13 · 2019: 9 · 2018: 5 · 2017: 9 · 2016: 10 · 2015: 8 · 2014: 1 · 2012: 1
FWCI
9.30
Type
journal article
Language
en
Open access
Locations
  • Physical Review Letters (publishedVersion)
  • PubMed (publishedVersion)
  • Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
  • arXiv (Cornell University) (submittedVersion)
  • Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
  • arXiv (Cornell University)
Funders
National Science Foundation (PP00P2_138917)
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
dimension witness, prepare-and-measure scenario, noise robustness, randomness certification, non-convex optimization

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