Experimentally friendly approach towards nonlocal correlations in multisetting N -partite Bell scenarios
Artur Barasi\'nski, Anton\'in \v{C}ernoch, Wies{\l}aw Laskowski, Karel, Lemr, Tam\'as V\'ertesi, and Jan Soubusta

TL;DR
This paper introduces a practical method for experimentally assessing nonlocal correlations in multisetting N-partite Bell scenarios, enabling near-complete detection of local realism violations with minimal assumptions and no aligned reference frames.
Contribution
It proposes a simple procedure to determine nonlocality measures using incomplete Bell inequalities, facilitating experimental verification in complex quantum systems.
Findings
High probability of detecting local realism violations with random states and measurements
Imprecision from the method is comparable to measurement errors
Enables witnessing genuine multipartite entanglement without aligned reference frames
Abstract
In this work, we study a recently proposed operational measure of nonlocality by Fonseca and Parisio~[Phys. Rev. A 92, 030101(R) (2015)] which describes the probability of violation of local realism under randomly sampled observables, and the strength of such violation as described by resistance to white noise admixture. While our knowledge concerning these quantities is well established from a theoretical point of view, the experimental counterpart is a considerably harder task and very little has been done in this field. It is caused by the lack of complete knowledge about the facets of the local polytope required for the analysis. In this paper, we propose a simple procedure towards experimentally determining both quantities for -qubit pure states, based on the incomplete set of tight Bell inequalities. We show that the imprecision arising from this approach is of similar…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
