Recent advances in quantum machine learning

Zhang Yao; Ni Qiang

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Recent advances in quantum machine learning

机译：最近量子机器学习的进步

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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.

机译：xml: id = " que234 - abs - 0001 " > <标题是人工智能的一个分支,它吗已广泛应用于许多科学吗工程领域,如数据挖掘、自然语言处理、计算机视觉、生物分析,等等。认为是最有前途的一个技术的人类在不久的将来。随着机器学习的发展量子计算,研究人员考虑结合这两个方面来获得更多的好处。因此,一种新的边缘学科emerged-quantum机器学习。的评论条国家优先车道检测——艺术的研究量子机器学习算法和显示从基本的量子路径的研究机器学习量子信息算法从人的角度来看计算机科学领域。

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来源
《Quantum Engineering》 |2020年第1期|n/a-n/a|共20页
作者
Zhang Yao; Ni Qiang;
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作者单位

School of Computing and CommunicationsLancaster UniversityLancaster,UK;

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原文格式 PDF
正文语种英语
中图分类理论物理学;
关键词
quantum computing; Machine Learning; Quantum computerscomputer scienceHumancomputer visiondata miningLearning;

机译：量子计算;机器学习;量子computerscomputer scienceHumancomputer visiondataminingLearning;

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Recent advances in quantum machine learning

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