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 …

In this work, we introduce a fast implementation of the minimum-weight perfect matching
(MWPM) decoder, the most widely used decoder for several important families of quantum …

The experimental realization of increasingly complex synthetic quantum systems calls for the
development of general theoretical methods to validate and fully exploit quantum resources …

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 …

Photonics is the platform of choice to build a modular, easy-to-network quantum computer
operating at room temperature. However, no concrete architecture has been presented so …

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 …

Condensed-matter physics is the study of the collective behaviour of infinitely complex
assemblies of electrons, nuclei, magnetic moments, atoms or qubits. This complexity is …

Quantum matter, the research field studying phases of matter whose properties are
intrinsically quantum mechanical, draws from areas as diverse as hard condensed matter …

Machine learning, one of today's most rapidly growing interdisciplinary fields, promises an
unprecedented perspective for solving intricate quantum many-body problems …