Which causal structures might support a quantum-classical gap?

TL;DR

This paper investigates which causal structures can exhibit a quantum-classical gap, introducing new techniques to identify interesting scenarios where quantum and classical predictions differ, especially using entropic inequalities and graphical methods.

Contribution

It extends previous analysis by applying graphical techniques and entropic inequalities to identify interesting causal scenarios supporting quantum-classical gaps.

Findings

Graphical techniques can confirm interesting scenarios without explicit inequality searches.

Existence of non-Shannon entropic inequalities for certain graphs.

Conditioning on variable values enhances entropic inequality methods.

Abstract

A causal scenario is a graph that describes the cause and effect relationships between all relevant variables in an experiment. A scenario is deemed `not interesting' if there is no device-independent way to distinguish the predictions of classical physics from any generalised probabilistic theory (including quantum mechanics). Conversely, an interesting scenario is one in which there exists a gap between the predictions of different operational probabilistic theories, as occurs for example in Bell-type experiments. Henson, Lal and Pusey (HLP) recently proposed a sufficient condition for a causal scenario to not be interesting. In this paper we supplement their analysis with some new techniques and results. We first show that existing graphical techniques due to Evans can be used to confirm by inspection that many graphs are interesting without having to explicitly search for inequality violations. For three exceptional cases -- the graphs numbered 15,16,20 in HLP -- we show that there exist non-Shannon type entropic inequalities that imply these graphs are interesting. In doing so, we find that existing methods of entropic inequalities can be greatly enhanced by conditioning on the specific values of certain variables.