Keywords: 
• 机器学习 /
• 量子多体物理 /
• 人工神经网络 /
• 指数墙困难

Abstract: Machine learning methods have attracted considerable interest in various fields. In this paper we review recent progress in the application of machine learning methods to quantum many-body physics. Special attention is devoted to the potential relation between the"exponential wall"difficulties in this field of physics and machine learning methods. We also discuss the possi-bility that progress in quantum many-body physics will also be beneficial to the machine learning community.