Characterizations of bilocality and $n$-locality of correlation tensors

TL;DR

This paper characterizes bilocality and n-locality of correlation tensors and probability tensors, establishing their equivalence, and explores their topological and geometric properties.

Contribution

It provides equivalent characterizations of bilocality and n-locality, demonstrating their topological properties and unifying different descriptions of correlation tensors.

Findings

Equivalent characterizations of bilocality and n-locality.

Bilocal CTs form a compact path-connected set.

Properties of bilocal probability tensors.

Abstract

In the literature, bilocality and $n$-locality of correlation tensors (CTs) are described by integration local hidden variable models (called C-LHVMs) rather than by summation LHVMs (called D-LHVMs). Obviously, C-LHVMs are easier to be constructed than D-LHVMs, while the later are easier to be used than the former, e.g., in discussing on the topological and geometric properties of the sets of all bilocal and of all $n$-local CTs. In this context, one may ask whether the two descriptions are equivalent. In the present work, we first establish some equivalent characterizations of bilocality of a tripartite CT ${\bf{P}}=\Lbrack P(abc|xyz)\Rbrack$, implying that the two descriptions of bilocality are equivalent. As applications, we prove that all bilocal CTs with the same size form a compact path-connected set that has many star-convex subsets. Secondly, we introduce and discuss the bilocality of a tripartite probability tensor (PT) ${\bf{P}}=\Lbrack P(abc)\Rbrack$, including equivalent characterizations and properties of bilocal PTs. Lastly, we obtain corresponding results about $n$-locality of $n+1$-partite CTs ${\bf{P}}=\Lbrack P({\bf{a}}b|{\bf{x}}y)\Rbrack$ and PTs ${\bf{P}}=\Lbrack P({\bf{a}}b)\Rbrack$, respectively.