Bounds on Multipartite Nonlocality via Reduction to Biased Nonlocality
Hafiza Rumlah Amer, Jibran Rashid
TL;DR
This paper establishes optimal bounds on multipartite nonlocality by reducing the problem to biased bipartite nonlocal games, aiding the understanding of quantum correlations.
Contribution
It introduces a reduction method from multipartite to bipartite nonlocal games, providing bounds on nonlocality in the LOCCG model.
Findings
Derived optimal bounds on multipartite nonlocality
Developed a reduction from multipartite to biased bipartite nonlocal games
Potential to extend the reduction to broader classes of games
Abstract
Multipartite information principles are needed to understand nonlocal quantum correlations. Towards that end, we provide optimal bounds on genuine multipartite nonlocality for classes of THRESHOLD games using the LOCCG (Local Operations with Grouping) model. Our proof develops a reduction between multipartite nonlocal and biased bipartite nonlocal games. Generalizing this reduction to a larger class of games may build a bridge from multipartite to bipartite principles.
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.