Causal influences are at the core of any empirical science, the reason why its quantification
is of paramount relevance for the mathematical theory of causality and applications …

Inferring causal relations from empirical data is a central task in any scientific inquiry. To that
aim, a mathematical theory of causality has been developed, not only stating under which …

Quantum theory, as counter-intuitive as a theory can get, has turned out to make predictions
of the physical world that match observations so precisely that it has been described as the …

Recent years have seen great interest in extending causal inference concepts developed in
the context of classical statistical models to quantum theory. So far, this program has only …

Quantum mechanics has achieved unparalleled success as an operational theory,
describing a wide range of experiments to remarkable accuracy. However, the physical …

In this article we set out to understand the significance of the process matrix formalism and
the quantum causal modelling programme for ongoing disputes about the role of causation …

Inferring causal relations from experimental observations is of primal importance in science.
Instrumental tests provide an essential tool for that aim, as they allow one to estimate causal …

Though the topic of causal inference is typically considered in the context of classical
statistical models, recent years have seen great interest in extending causal inference …

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 …

Causality is central to understanding the mechanisms of nature: some event" A" is the cause
of another event “B”. Surprisingly, causality does not follow this simple rule in quantum …