Quantum dynamical maps provide suitable mathematical representation of quantum
evolutions. When representing quantum states by density operators, the evident …

Quantum information theory is built upon the realisation that quantum resources like
coherence and entanglement can be exploited for novel or enhanced ways of transmitting …

Quantum classifiers are trainable quantum circuits used as machine learning models. The
first part of the circuit implements a quantum feature map that encodes classical inputs into …

Quantum classification and hypothesis testing (state and channel discrimination) are two
tightly related subjects, the main difference being that the former is data driven: how to …

Quantum measurements play a fundamental role in quantum mechanics. Especially,
generalized quantum measurements provide a powerful and versatile tool to extract …

There are fundamental limits to the accuracy with which one can determine the state of a
quantum system. I give an overview of the main approaches to quantum state discrimination …

There has been recent promising experimental and theoretical evidence that quantum
computational tools might enhance the precision and efficiency of physical experiments …

We derive a generalized wave-particle duality relation for arbitrary multipath quantum
interference phenomena. Beyond the conventional notion of the wave nature of a quantum …

Quantum neural networks (QNNs) have become an important tool for understanding the
physical world, but their advantages and limitations are not fully understood. Some QNNs …

We establish an operational characterization of general convex resource theories—
describing the resource content of not only states but also measurements and channels …