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タイトル: Quantum skyrmion dynamics studied by neural network quantum states
著者: Joshi, Ashish
Peters, Robert
Posske, Thore
キーワード: Dzyaloshinskii-Moriya interaction
Skyrmions
Spin dynamics
Quantum many-body systems
Quantum spin models
Artificial neural networks
Monte Carlo methods
発行日: 1-Sep-2024
出版者: American Physical Society (APS)
誌名: Physical Review B
巻: 110
号: 10
論文番号: 104411
抄録: We study the dynamics of quantum skyrmions under a magnetic field gradient using neural network quantum states. First, we obtain a quantum skyrmion lattice ground state using variational Monte Carlo with a restricted Boltzmann machine as the variational ansatz for a quantum Heisenberg model with a Dzyaloshinskii-Moriya interaction. Then, using the time-dependent variational principle, we study the real-time evolution of quantum skyrmions after a Hamiltonian quench with an inhomogeneous external magnetic field. We show that field gradients are an effective way of manipulating and moving quantum skyrmions. Furthermore, we demonstrate that quantum skyrmions can decay when interacting with each other. This work shows that neural network quantum states offer a promising way of studying the real-time evolution of quantum magnetic systems that are outside the realm of exact diagonalization.
著作権等: Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
URI: http://hdl.handle.net/2433/294086
DOI(出版社版): 10.1103/physrevb.110.104411
出現コレクション:学術雑誌掲載論文等

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