TL;DR
This paper introduces a novel, scalable data-driven method for inferring nonlinear Bell inequalities from average two-body correlations in many-body quantum systems, applicable to arbitrary spin-j ensembles, enhancing the detection of entanglement.
Contribution
The authors develop a flexible, quadratic-in-data approach that improves over previous methods by handling multiple outcomes and settings, enabling systematic discovery of Bell inequalities for complex quantum states.
Findings
Successfully applied to quantum spin-1/2 ensembles.
Discovered new Bell inequalities for spin-squeezed states.
Robustly violated inequalities for many-body spin singlets.
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 endeavour. 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-outcomes 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…
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