机器学习方法在量子多体物理中的应用

发布时间：2018-03-29 12:15

  本文选题：机器学习　切入点：量子多体物理　出处：《物理》2017年09期

【摘要】：机器学习方法近年来在许多不同的领域受到广泛的关注,文章回顾了机器学习方法在量子多体物理中的应用的几个有代表性的例子,着重讨论了机器学习方法对于解决量子多体物理中"指数墙"困难的可能的潜在意义。除此以外,量子多体物理中的若干方法和思想反过来可能对理解机器学习领域面临的核心问题有重要的启发作用。
[Abstract]:In recent years, machine learning methods have received extensive attention in many different fields. In this paper, several representative examples of machine learning methods in quantum multi-body physics are reviewed. The potential significance of machine learning in solving the problem of "exponential wall" in quantum multi-body physics is discussed. In turn, some methods and ideas in quantum multi-body physics may have an important enlightening effect on understanding the core problems in the field of machine learning.
【作者单位】： 上海交通大学物理与天文学院;
【分类号】：O413;TP181
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本文编号：1681097