Many of the heated arguments about the meaning of'Bellʼs theorem'arise because this
phrase can refer to two different theorems that John Bell proved, the first in 1964 and the …

Causal modelling provides a powerful set of tools for identifying causal structure from
observed correlations. It is well known that such techniques fail for quantum systems, unless …

Reichenbach's principle asserts that if two observed variables are found to be correlated,
then there should be a causal explanation of these correlations. Furthermore, if the …

Bayesian networks provide a powerful tool for reasoning about probabilistic causation, used
in many areas of science. They are, however, intrinsically classical. In particular, Bayesian …

It is known that the classical framework of causal models is not general enough to allow for
causal reasoning about quantum systems. While the framework has been generalized in a …

In a scenario where two parties share, act on and exchange some physical resource, the
assumption that the parties' actions are ordered according to a definite causal structure …

Causality is a seminal concept in science: Any research discipline, from sociology and
medicine to physics and chemistry, aims at understanding the causes that could explain the …

It is a recent realization that many of the concepts and tools of causal discovery in machine
learning are highly relevant to problems in quantum information, in particular quantum …

In a Bell experiment, it is natural to seek a causal account of correlations wherein only a
common cause acts on the outcomes. For this causal structure, Bell inequality violations can …

Advances in our understanding of the physical universe have dramatically affected how we
view ourselves. Right at the core of all modern thinking about the universe is the assumption …