A central result in the foundations of quantum mechanics is the Kochen-Specker theorem. In
short, it states that quantum mechanics is in conflict with classical models in which the result …

The goal of machine learning is to facilitate a computer to execute a specific task without
explicit instruction by an external party. Quantum foundations seek to explain the conceptual …

Consumption of magic states promotes the stabilizer model of computation to universal
quantum computation. Here, we propose three different classical algorithms for simulating …

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 …

We propose a method for classical simulation of finite-dimensional quantum systems, based
on sampling from a quasiprobability distribution, ie, a generalized Wigner function. Our …

Using a process-theoretic formalism, we introduce the notion of a causal-inferential theory: a
triple consisting of a theory of causal influences, a theory of inferences (of both the Boolean …

Contextuality is a feature of quantum correlations. It is crucial from a foundational
perspective as a non-classical phenomenon, and from an applied perspective as a resource …

Quantum coherence, nonlocality, and contextuality are key resources for quantum
advantage in metrology, communication, and computation. We introduce a graph-based …

Contextuality—the obstruction to describing quantum mechanics in a classical statistical way—
has been proposed as a resource that powers quantum computing. The measurement …

Quantum Darwinism proposes that the proliferation of redundant information plays a major
role in the emergence of objectivity out of the quantum world. Is this kind of objectivity …