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Proofs of Network Quantum Nonlocality in Continuous Families of Distributions

Alejandro Pozas-Kerstjens, Nicolas Gisin, and Marc-Olivier Renou
Phys. Rev. Lett. 130, 090201 – Published 28 February 2023
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Abstract

The study of nonlocality in scenarios that depart from the bipartite Einstein-Podolsky-Rosen setup is allowing one to uncover many fundamental features of quantum mechanics. Recently, an approach to building network-local models based on machine learning led to the conjecture that the family of quantum triangle distributions of [Renou et al., Phys. Rev. Lett. 123, 140401 (2019)] did not admit triangle-local models in a larger range than the original proof. We prove part of this conjecture in the affirmative. Our approach consists of reducing the family of original, four-outcome distributions to families of binary-outcome ones, and then using the inflation technique to prove that these families of binary-outcome distributions do not admit triangle-local models. This constitutes the first successful use of inflation in a proof of quantum nonlocality in networks for distributions whose nonlocality could not be proved with alternative methods. Moreover, we provide a method to extend proofs of network nonlocality in concrete distributions of a parametrized family to continuous ranges of the parameter. In the process, we produce a large collection of network Bell inequalities for the triangle scenario with binary outcomes, which are of independent interest.

  • Figure
  • Received 9 April 2022
  • Revised 13 October 2022
  • Accepted 18 January 2023

DOI:https://doi.org/10.1103/PhysRevLett.130.090201

© 2023 American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyNetworks

Authors & Affiliations

Alejandro Pozas-Kerstjens1,2, Nicolas Gisin3,4, and Marc-Olivier Renou5

  • 1Instituto de Ciencias Matemáticas (CSIC-UAM-UC3M-UCM), 28049 Madrid, Spain
  • 2Departamento de Análisis Matemático, Universidad Complutense de Madrid, 28040 Madrid, Spain
  • 3Group of Applied Physics, University of Geneva, 1211 Geneva 4, Switzerland
  • 4Constructor University, Geneva, Switzerland
  • 5ICFO—Institut de Ciències Fotòniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels (Barcelona), Spain

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Issue

Vol. 130, Iss. 9 — 3 March 2023

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