神经网络量子态及其应用

Neural network quantum states and their applications

神经网络量子态是由人工神经网络所表示的量子态。得益于机器学习,尤其是深度学习近年来取得的突破性进展,神经网络量子态的研究得到了广泛的关注,成为当前的热点前沿方向。文章将介绍不同的神经网络量子态,其物理性质与典型应用场景,最新进展,以及面临的挑战。

Neural-network quantum states are states represented by artificial neural networks.Thanks to the dramatic progress achieved recently in the field of machine learning,especially deep learning,the study of neural-network quantum states has attracted tremendous attention across communities,and has become one of the most active directions of research.In this paper,we review different kinds of neural-network quantum states,their physical properties,and typical applications.In addition,we also discuss some most recent advances and future challenges along this direction.