We introduce the framework of general probabilistic theories (GPTs for short). GPTs are a
class of operational theories that generalize both finite-dimensional classical and quantum …

Generalisation in machine learning often relies on the ability to encode structures present in
data into an inductive bias of the model class. To understand the power of quantum machine …

A well-motivated method for demonstrating that an experiment resists any classical
explanation is to show that its statistics violate generalized noncontextuality. We here …

Operational contextuality forms a rapidly developing subfield of quantum information theory.
However, the characterization of the quantum mechanical entities that fuel the phenomenon …

The formalism of generalized probabilistic theories (GPTs) was originally developed as a
way to characterize the landscape of conceivable physical theories. Thus, the GPT …

Quantum theory features several phenomena which can be considered as resources for
information processing tasks. Some of these effects, such as entanglement, arise in a …

We show that the phase-space formulation of general probabilistic theories can be extended
to include a generalized time evolution and that it can describe a nonquantum hydrogenlike …

The gold standard for demonstrating that an experiment resists any classical explanation is
to show that its statistics violate generalized noncontextuality. We here provide an open …

It is commonly believed that failures of tomographic completeness undermine assessments
of nonclassicality in noncontextuality experiments. In this work, we study how such failures …

Generalized noncontextuality is a well-studied notion of classicality that is applicable to a
single system, as opposed to Bell locality. It relies on representing operationally …