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。 In recent years, machine learning methods have attracted a great deal of attention in many different fields. This paper reviews several representative examples of the application of machine learning methods in quantum multi-body physics and focuses on how machine learning methods can solve the problems of quantum multi-body physics In the “index wall” the potential implications of the difficulties. In addition, several approaches and ideas in quantum multibody physics may in turn have important implications for understanding the core issues facing machine learning.