Advances in Quantum Machine Learning

Jeremy Adcock, Euan Allen, Matt Day, Stefan Frick, Janna J Hinchliff, Mack Johnson, Sam Morley-Short, Sam Pallister, Alasdair Price, Stasja Stanisic

Research output: Contribution to journalReview article (Academic Journal)

208 Downloads (Pure)

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.
Original languageEnglish
Number of pages38
JournalarXiv
Volume1512.02900
Publication statusUnpublished - 9 Dec 2015

Keywords

  • quant-ph

Fingerprint Dive into the research topics of 'Advances in Quantum Machine Learning'. Together they form a unique fingerprint.

  • Cite this

    Adcock, J., Allen, E., Day, M., Frick, S., Hinchliff, J. J., Johnson, M., Morley-Short, S., Pallister, S., Price, A., & Stanisic, S. (2015). Advances in Quantum Machine Learning. Unpublished. http://arxiv.org/abs/1512.02900