Open AccessRecent advances in quantum machine learning
Author(s) -
Zhang Yao,
Ni Qiang
Publication year - 2020
Publication title -
quantum engineering
Language(s) - English
Resource type - Journals
ISSN - 2577-0470
DOI - 10.1002/que2.34
Subject(s) - quantum machine learning , computer science , field (mathematics) , quantum computer , artificial intelligence , perspective (graphical) , quantum information , quantum , machine learning , mathematics , physics , pure mathematics , quantum mechanics
Summary 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, computer vision, biological analysis, and so on. Quantum computer is considered as one of the most promising technologies of human beings in the near future. With the development of machine learning and quantum computing, researchers consider to combine these two aspects to gain more benefits. As a result, a novel interdisciplinary subject has emerged—quantum machine learning. This article reviews the state‐of‐the‐art research of algorithms of quantum machine learning and shows a path of the research from the basic quantum information to quantum machine learning algorithms from the perspective of people in the field of computer science.