The power of quantum computing technologies is based on the fundamentals of quantum
mechanics, such as quantum superposition, quantum entanglement, or the no-cloning …

Fuelled by increasing computer power and algorithmic advances, machine learning
techniques have become powerful tools for finding patterns in data. Quantum systems …

Quantum random walk is the quantum counterpart of a classical random walk. The classical
random walk concept has long been used as a computational framework for designing …

Recently, increased computational power and data availability, as well as algorithmic
advances, have led machine learning (ML) techniques to impressive results in regression …

With quantum computing technologies nearing the era of commercialization and quantum
supremacy, machine learning (ML) appears as one of the promising'killer'applications …

The quantum computer has an amazing potential of fast information processing. However,
the realization of a digital quantum computer is still a challenging problem requiring highly …

We propose a quantum generalisation of a classical neural network. The classical neurons
are firstly rendered reversible by adding ancillary bits. Then they are generalised to being …

This paper surveys quantum learning theory: the theoretical aspects of machine learning
using quantum computers. We describe the main results known for three models of learning …

Machine learning is a branch of artificial intelligence, and it has been widely used in many
science and engineering areas, such as data mining, natural language processing …

Mainstream machine-learning techniques such as deep learning and probabilistic
programming rely heavily on sampling from generally intractable probability distributions …