Quantum machine learning is a rapidly growing field at the intersection of quantum
technology and artificial intelligence. This review provides a two-fold overview of several key …

Bell's theorem proves that quantum theory is inconsistent with local physical models. It has
propelled research in the foundations of quantum theory and quantum information science …

Quantum metrology is one of the most promising applications of quantum technologies. The
aim of this research field is the estimation of unknown parameters exploiting quantum …

Abstract Machine Learning (ML) is one of the most exciting and dynamic areas of modern
research and application. The purpose of this review is to provide an introduction to the core …

Machine learning can help us in solving problems in the context of big-data analysis and
classification, as well as in playing complex games such as Go. But can it also be used to …

In a Bell experiment, it is natural to seek a causal account of correlations wherein only a
common cause acts on the outcomes. For this causal structure, Bell inequality violations can …

The possibility of Bell inequality violations in quantum theory had a profound impact on our
understanding of the correlations that can be shared by distant parties. Generalizing the …

The classification of phase transitions is a central and challenging task in condensed matter
physics. Typically, it relies on the identification of order parameters and the analysis of …

The launch of a satellite capable of distributing entanglement through long distances and
the first loophole-free violation of Bell inequalities are milestones indicating a clear path for …

Quantum networks are the center of many of the recent advances in quantum science, not
only leading to the discovery of new properties in the foundations of quantum theory but also …