Advances in quantum machine learning
Quantum Physics
2015-12-10 v1
Abstract
Here we discuss advances in the field of quantum machine learning. The following document offers a hybrid discussion; both reviewing the field as it is currently, and suggesting directions for further research. We include both algorithms and experimental implementations in the discussion. The field's outlook is generally positive, showing significant promise. However, we believe there are appreciable hurdles to overcome before one can claim that it is a primary application of quantum computation.
Cite
@article{arxiv.1512.02900,
title = {Advances in quantum machine learning},
author = {Jeremy Adcock and Euan Allen and Matthew Day and Stefan Frick and Janna Hinchliff and Mack Johnson and Sam Morley-Short and Sam Pallister and Alasdair Price and Stasja Stanisic},
journal= {arXiv preprint arXiv:1512.02900},
year = {2015}
}
Comments
38 pages, 17 Figures