Machine learning (ML) encompasses a broad range of algorithms and modeling tools used
for a vast array of data processing tasks, which has entered most scientific disciplines in …

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 …

Quantum information technologies, on the one hand, and intelligent learning systems, on the
other, are both emergent technologies that are likely to have a transformative impact on our …

As the field of artificial intelligence advances, the demand for algorithms that can learn
quickly and efficiently increases. An important paradigm within artificial intelligence is …

Semiconductor spins are one of the few qubit realizations that remain a serious candidate
for the implementation of large-scale quantum circuits. Excellent scalability is often argued …

Our world, of course, changed in many other ways as well since the publication of the first
edition. The global pandemic impacted all areas of society and will probably transform how …

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 …

Building a large-scale quantum computer requires effective strategies to correct errors that
inevitably arise in physical quantum systems. Quantum error-correction codes present a way …

A central aspect for operating future quantum computers is quantum circuit optimization, ie,
the search for efficient realizations of quantum algorithms given the device capabilities. In …

We show that a simple modification of the surface code can exhibit an enormous gain in the
error correction threshold for a noise model in which Pauli Z errors occur more frequently …