Neural-Network Quantum State of Transverse-Field Ising Model

DOI10.1088/0253-6102/71/11/1379zbMath1452.82021arXiv1905.11066OpenAlexW3102105265MaRDI QIDQ3387540

Ding-fang Zeng, Han-Qing Shi, Xiao-Yue Sun

Publication date: 13 January 2021

Published in: Communications in Theoretical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1905.11066

zbMATH Keywords

quantum phase transitiontransverse field Ising modelneural network quantum statestochastic reconfiguration method

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Dynamics of disordered systems (random Ising systems, etc.) in time-dependent statistical mechanics (82C44)

Cites Work

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• Building up spacetime with quantum entanglement
• Reducing the Dimensionality of Data with Neural Networks
• Holographic Derivation of Entanglement Entropy from the anti–de Sitter Space/Conformal Field Theory Correspondence
• Solving the quantum many-body problem with artificial neural networks
• Holography as deep learning

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