In recent years the dramatic progress in machine learning has begun to impact many areas
of science and technology significantly. In the present perspective article, we explore how …

Photons are the physical system of choice for performing experimental tests of the
foundations of quantum mechanics. Furthermore, photonic quantum technology is a main …

As bigger quantum processors with hundreds of qubits become increasingly available, the
potential for quantum computing to solve problems intractable for classical computers is …

Entanglement is a crucial resource for quantum technologies ranging from quantum
communication to quantum-enhanced measurements and computation. Finding …

Quantum optical networks are instrumental in addressing the fundamental questions and
enable applications ranging from communication to computation and, more recently …

Artificial intelligence (AI) advancements over the past few years have had an unprecedented
and revolutionary impact across everyday application areas. Its significance also extends to …

Linear quantum optics is advancing quickly, driven by sources of correlated photon pairs.
Multi-photon sources beyond pairs would be a powerful resource, but are a difficult …

Parallel developments in the realms of AI and quantum technology have shown a great deal
of promise for mutual benefit. Combining them refers to using AI methods to create quantum …

The most efficient automated way to construct a large class of quantum photonic
experiments is via abstract representation of graphs with certain properties. While new …

We propose and study the graph-theoretical problem EXISTS-PMVC: the existence of
perfect matching under vertex-color constraints on graphs with bi-colored edges. EXISTS …