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 …

The notion of macrorealism was introduced by Leggett and Garg in an attempt to capture our
intuitive conception of the macroscopic world, which seems difficult to reconcile with our …

We propose a quantum generalisation of a classical neural network. The classical neurons
are firstly rendered reversible by adding ancillary bits. Then they are generalised to being …

The framework of generalized probabilistic theories is a powerful tool for studying the
foundations of quantum physics. It provides the basis for a variety of recent findings that …

We consider how to describe Hamiltonian mechanics in generalized probabilistic theories
with the states represented as quasiprobability distributions. We give general operational …

Hamiltonian mechanics describes the evolution of a system through its Hamiltonian. The
Hamiltonian typically also represents the energy observable, a Noether-conserved quantity …

The advent of quantum computing has challenged classical conceptions of which problems
are efficiently solvable in our physical world. This motivates the general study of how …

Quantum interference, manifest in the two slit experiment, lies at the heart of several
quantum computational speed-ups and provides a striking example of a quantum …

From the general difficulty of simulating quantum systems using classical systems, and in
particular the existence of an efficient quantum algorithm for factoring, it is likely that …

Florian J. Boge Page 1 European Studies in Philosophy of Science Florian J. Boge
Quantum Mechanics Between Ontology and Epistemology Page 2 European Studies in …