Quantum technologies have become powerful tools for a wide range of application
disciplines, which tend to range from chemistry to agriculture, natural language processing …

A central question in quantum computation is to identify the resources that are responsible
for quantum speed-up. Quantum contextuality has been recently shown to be a resource for …

Quantum machine learning, which combines quantum computers with regular machine
learning, is a much contested field of research. The goal of quantum ML is to provide light on …

ABSTRACT The Quantum Machine Learning is at the combination of the two of the most
sought study topics today, ie, quantum computing and conventional machine learning …

(Abridged abstract.) In this thesis we introduce new models of quantum computation to study
the emergence of quantum speed-up in quantum computer algorithms. Our first contribution …

Since its inception in the 1980s and early proof of principle for hardware in the 2000s,
quantum computing has made tremendous strides. Despite the fact that the technology is …

This paper overviews the development of the quantum information technology and the
quantum computing over the years, highlighting its potential promising applications in …

Este informe tiene por objetivo principal ofrecer a los profesionales de las matemáticas tanto
un punto de entrada al mundo de la computación cuántica como un resumen del estado del …