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    Rights statement: 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.

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    Available under license: CC BY-NC: Creative Commons Attribution-NonCommercial 4.0 International License

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Recent advances in quantum machine learning

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Recent advances in quantum machine learning. / Zhang, Yao; Ni, Qiang.
In: Quantum Engineering, Vol. 2, No. 1, e34, 20.03.2020.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Zhang, Y & Ni, Q 2020, 'Recent advances in quantum machine learning', Quantum Engineering, vol. 2, no. 1, e34. https://doi.org/10.1002/que2.34

APA

Zhang, Y., & Ni, Q. (2020). Recent advances in quantum machine learning. Quantum Engineering, 2(1), Article e34. https://doi.org/10.1002/que2.34

Vancouver

Zhang Y, Ni Q. Recent advances in quantum machine learning. Quantum Engineering. 2020 Mar 20;2(1):e34. Epub 2020 Mar 2. doi: 10.1002/que2.34

Author

Zhang, Yao ; Ni, Qiang. / Recent advances in quantum machine learning. In: Quantum Engineering. 2020 ; Vol. 2, No. 1.

Bibtex

@article{1be00930780e41e997b7e0955aac3841,
title = "Recent advances in quantum machine learning",
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.",
keywords = "machine learning, quantum computing, quantum machine learning, quantum machine learning algorithms",
author = "Yao Zhang and Qiang Ni",
note = "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. ",
year = "2020",
month = mar,
day = "20",
doi = "10.1002/que2.34",
language = "English",
volume = "2",
journal = "Quantum Engineering",
publisher = "John Wiley & Sons, Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - Recent advances in quantum machine learning

AU - Zhang, Yao

AU - Ni, Qiang

N1 - 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.

PY - 2020/3/20

Y1 - 2020/3/20

N2 - 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.

AB - 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.

KW - machine learning

KW - quantum computing

KW - quantum machine learning

KW - quantum machine learning algorithms

U2 - 10.1002/que2.34

DO - 10.1002/que2.34

M3 - Journal article

VL - 2

JO - Quantum Engineering

JF - Quantum Engineering

IS - 1

M1 - e34

ER -