In the past decade, the toolkit of quantum information has been expanded to include
processes in which the basic operations do not have definite causal relations. Originally …

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 …

Our common understanding of the physical world deeply relies on the notion that events are
ordered with respect to some time parameter, with past events serving as causes for future …

Time has a fundamentally different character in quantum mechanics and in general relativity.
In quantum theory events unfold in a fixed order while in general relativity temporal order is …

The idea that events are equipped with a partial causal order is central to our understanding
of physics in the tested regimes: given two pointlike eventsAandB, eitherAis in the causal …

Understanding the interface between quantum and relativistic theories is crucial for
fundamental and practical advances, especially given that key physical concepts such as …

Causal reasoning is essential to science, yet quantum theory challenges it. Quantum
correlations violating Bell inequalities defy satisfactory causal explanations within the …

Quantum supermaps are transformations that map quantum operations to quantum
operations. It is known that quantum supermaps which respect a definite, predefined causal …

Finding exponential separation between quantum and classical information tasks is like
striking gold in quantum information research. Such an advantage is believed to hold for …

Existing work on quantum causal structure assumes that one can perform arbitrary
operations on the systems of interest. But this condition is often not met. Here, we extend the …