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Information-theoretic implications of quantum causal structures.

Abstract：

:It is a relatively new insight of classical statistics that empirical data can contain information about causation rather than mere correlation. First algorithms have been proposed that are capable of testing whether a presumed causal relationship is compatible with an observed distribution. However, no systematic method is known for treating such problems in a way that generalizes to quantum systems. Here, we describe a general algorithm for computing information-theoretic constraints on the correlations that can arise from a given causal structure, where we allow for quantum systems as well as classical random variables. The general technique is applied to two relevant cases: first, we show that the principle of information causality appears naturally in our framework and go on to generalize and strengthen it. Second, we derive bounds on the correlations that can occur in a networked architecture, where a set of few-body quantum systems is distributed among some parties.

journal_name

Nat Commun

journal_title

Nature communications

authors

Chaves R,Majenz C,Gross D

doi

10.1038/ncomms6766

subject

Has Abstract

pub_date

2015-01-06 00:00:00

pages

5766

issn

2041-1723

pii

ncomms6766

journal_volume

6

pub_type

杂志文章

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