An oracle that correctly predicts the outcome of every particle physics experiment, the
products of every possible chemical reaction or the function of every protein would …

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 …

Graphs have provided an expressive mathematical tool to model quantum-mechanical
devices and systems. In particular, it has been recently discovered that graph theory can be …

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 …

In this book, we provide a comprehensive introduction to the most recent advances in the
application of machine learning methods in quantum sciences. We cover the use of deep …

Quantum computing has recently emerged as a transformative technology. Yet, its promised
advantages rely on efficiently translating quantum operations into viable physical …

Two processes of photon-pair creation can be arranged such that the paths of the emitted
photons are identical. The path information is thereby not erased but rather never born in the …

Multipartite entanglement is one of the core concepts in quantum information science with
broad applications that span from condensed matter physics to quantum physics foundation …

The design of new devices and experiments has historically relied on the intuition of human
experts. Now, design inspirations from computers are increasingly augmenting the capability …

These are exciting times for quantum physics as new quantum technologies are expected to
soon transform computing at an unprecedented level. Simultaneously network science is …