• Open Access

Inferring Nonlinear Many-Body Bell Inequalities From Average Two-Body Correlations: Systematic Approach for Arbitrary Spin-j Ensembles

Guillem Müller-Rigat, Albert Aloy, Maciej Lewenstein, and Irénée Frérot
PRX Quantum 2, 030329 – Published 17 August 2021

Abstract

Violating Bell’s inequalities (BIs) allows one to certify the preparation of entangled states from minimal assumptions—in a device-independent manner. Finding BIs tailored to many-body correlations as prepared in present-day quantum computers and simulators is however a highly challenging endeavor. In this work, we focus on BIs violated by very coarse-grain features of the system: two-body correlations averaged over all permutations of the parties. For two-outcome measurements, specific BIs of this form have been theoretically and experimentally studied in the past, but it is practically impossible to explicitly test all such BIs. Data-driven methods—reconstructing a violated BI from the data themselves—have therefore been considered. Here, inspired by statistical physics, we develop a novel data-driven approach specifically tailored to such coarse-grain data. Our approach offers two main improvements over the existing literature: (1) it is directly designed for any number of outcomes and settings; (2) the obtained BIs are quadratic in the data, offering a fundamental scaling advantage for the precision required in experiments. This very flexible method, whose complexity does not scale with the system size, allows us to systematically improve over all previously known Bell inequalities robustly violated by ensembles of quantum spin 1/2; and to discover novel families of Bell inequalities, tailored to spin-squeezed states and many-body spin singlets of arbitrary spin-j ensembles.

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  • Received 21 December 2020
  • Revised 30 April 2021
  • Accepted 26 July 2021
  • Corrected 16 February 2022

DOI:https://doi.org/10.1103/PRXQuantum.2.030329

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Quantum Information, Science & TechnologyStatistical Physics & Thermodynamics

Corrections

16 February 2022

Correction: The omission of a support statement in the Acknowledgment section has been fixed.

Authors & Affiliations

Guillem Müller-Rigat1, Albert Aloy1, Maciej Lewenstein1,2, and Irénée Frérot1,3,*

  • 1ICFO – Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, Castelldefels (Barcelona) 08860, Spain
  • 2ICREA, Pg. Lluís Companys 23, Barcelona 08010, Spain
  • 3Max-Planck-Institut für Quantenoptik, Garching D-85748, Germany

  • *irenee.frerot@icfo.eu

Popular Summary

Quantum computers allow for solving problems intractable with classical devices, and are fundamentally boosted by nonlocal quantum correlations, such as entanglement. Hence, revealing the structure of entanglement within quantum computers is key to assess the quantum advantage they provide. This however represents one of the hardest problems offered by quantum-information science, for which no practical solution exists. While the relevant measurements might be already available to experimentalists, theoreticians are having a hard time figuring out how to exploit them to unveil entanglement. Here, we focus on a most coarse-grained version of this problem, and develop a highly versatile algorithm, which learns—from the data themselves—the best way to reveal entanglement: in the form of a Bell inequality (BI).

BIs represent a powerful concept in the quantum-information toolbox to certify quantum computers: if violated, they prove that entanglement is present even if one remains completely agnostic about the physical systems being measured. But in general, the number of potentially violated BIs is exponentially large in the system size: therefore a practical approach must learn the relevant BI from the experimental data. To make this problem fully tractable, we restrict our attention to BIs, which are invariant under permutations of the subsystems composing the device. By averaging over the potential fine-grain structure of entanglement, one might fear oversimplifying the problem, and losing the ability to certify entanglement altogether. In contrast, this allowed us to discover classes of BIs, valid for arbitrarily many subsystems, which are robustly violated by paradigmatic many-body entangled states: spin-squeezed and spin-singlet states of individual spin-j components. While previous works focused on spin-1/2 degrees of freedom, our algorithm breaches the scalability wall towards a much wider exploration of BIs in many-body systems.

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Vol. 2, Iss. 3 — August - October 2021

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