论文标题

神经网络量子状态:系统评价

Neural-Network Quantum States: A Systematic Review

论文作者

Vivas, David R., Madroñero, Javier, Bucheli, Victor, Gómez, Luis O., Reina, John H.

论文摘要

所谓的当代AI革命已到达社会,人类和自然科学的每个角落 - 包括物理学。在量子多体物理学的背景下,其与机器学习的交集配置了一个高影响力的跨学科研究领域。随着最近出版的近期开创性贡献的出现。这种研究领域的一个特殊研究线是所谓的神经网络量子状态,这是一种解决量子多体系统解决方案的强大变分计算方法,已证明可以与成熟的,传统的形式主义竞争。在这里,提出了有关神经网络量子状态的文献的系统评价。

The so-called contemporary AI revolution has reached every corner of the social, human and natural sciences -- physics included. In the context of quantum many-body physics, its intersection with machine learning has configured a high-impact interdisciplinary field of study; with the arise of recent seminal contributions that have derived in a large number of publications. One particular research line of such field of study is the so-called Neural-Network Quantum States, a powerful variational computational methodology for the solution of quantum many-body systems that has proven to compete with well-established, traditional formalisms. Here, a systematic review of literature regarding Neural-Network Quantum States is presented.

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