Recent advances in quantum machine learning

Zhang, Yao and Ni, Qiang (2020) Recent advances in quantum machine learning. Quantum Engineering, 2 (1).

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Official URL: https://doi.org/10.1002/que2.34

Abstract

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.

Item Type:

Journal Article

Journal or Publication Title:

Quantum Engineering

Additional Information:

This is the peer reviewed version of the following article: This is the peer reviewed version of the following article: Zhang, Y, Ni, Q. Recent advances in quantum machine learning. Quantum Engineering. 2020; 2:e34. https://doi.org/10.1002/que2.34 which has been published in final form at https://onlinelibrary.wiley.com/doi/abs/10.1002/que2.34 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

Subjects:

?? MACHINE LEARNINGQUANTUM COMPUTINGQUANTUM MACHINE LEARNINGQUANTUM MACHINE LEARNING ALGORITHMS ??

Departments:

Faculty of Science and Technology > School of Computing & Communications

ID Code:

154554

Deposited By:

ep_importer_pure

Deposited On:

05 May 2021 15:25

Refereed?:

Yes