Quantum Machine Learning
Quantum Physics
2018-05-14 v2 Strongly Correlated Electrons
Machine Learning
Abstract
Fuelled by increasing computer power and algorithmic advances, machine learning techniques have become powerful tools for finding patterns in data. Since quantum systems produce counter-intuitive patterns believed not to be efficiently produced by classical systems, it is reasonable to postulate that quantum computers may outperform classical computers on machine learning tasks. The field of quantum machine learning explores how to devise and implement concrete quantum software that offers such advantages. Recent work has made clear that the hardware and software challenges are still considerable but has also opened paths towards solutions.
Cite
@article{arxiv.1611.09347,
title = {Quantum Machine Learning},
author = {Jacob Biamonte and Peter Wittek and Nicola Pancotti and Patrick Rebentrost and Nathan Wiebe and Seth Lloyd},
journal= {arXiv preprint arXiv:1611.09347},
year = {2018}
}
Comments
24 pages, 2 figures