神经网络量子态及其应用

Neural network quantum states and their applications

(1 Institute for Interdisciplinary Information Sciences,Tsinghua University,Beijing 100084,China)
(2 Shanghai Qi Zhi Institute,Shanghai 200232,China)

摘要: 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。
- 人工神经网络 /
- 量子多体问题 /
- 量子纠缠 /
- 贝尔不等式
Abstract: 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.
- artificial neural networks /
- quantum many-body problems /
- quantum entanglement /
- Bell inequality

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