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Understanding quantum magnetism in two-dimensional systems represents a lively branch in modern condensed-matter physics.
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2014
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2020
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2021
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2015
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M. Norman, Colloquium: Herbertsmithite and the search for the quantum spin liquid, Rev. Mod. Phys. 88
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2017
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2017
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F. Becca and S. Sorella, Quantum Monte Carlo Approaches for Correlated Systems (Cambridge University Press, 2017)
2017
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G. Carleo and M. Troyer, Solving the quantum many-body problem with artificial neural networks, Science 355
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J. Yang, A. W. Sandvik, and L. Wang, Quantum criticality and spin liquid phase in the shastry-sutherland model, Phys. Rev. B 105
2022
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L. Wang, Y. Zhang, and A. W. Sandvik, Quantum spin liquid phase in the shastry-sutherland model detected by an improved level spectroscopic method, Chinese Physics Letters 39
2022
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A. Keleş and E. Zhao, Rise and fall of plaquette order in the shastry-sutherland magnet revealed by pseudofermion functional renormalization group, Phys. Rev. B 105
2022
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L. L. Viteritti, F. Ferrari, and F. Becca, Accuracy of restricted Boltzmann machines for the one-dimensional J 1 − J 2 J_{1}-J_{2} Heisenberg model, SciPost Phys. 12
2022
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2022
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O. Sharir, A. Shashua, and G. Carleo, Neural tensor contractions and the expressive power of deep neural quantum states, Phys. Rev. B 106
2022
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M. Li, J. Chen, Q. Xiao, F. Wang, Q. Jiang, X. Zhao, R. Lin, H. An, X. Liang, and L. He, Bridging the gap between deep learning and frustrated quantum spin system for extreme-scale simulations on new generation of sunway supercomputer, IEEE Transactions on Parallel amp; Distributed Systems 33
2022
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2022
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F. Vicentini, D. Hofmann, A. Szabó, D. Wu, C. Roth, C. Giuliani, G. Pescia, J. Nys, V. Vargas-Calderón, N. Astrakhantsev, and G. Carleo, NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems, SciPost Phys. Codebases , 7 (2022)
2022
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2023
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X. Liang, M. Li, Q. Xiao, J. Chen, C. Yang, H. An, and L. He, Deep learning representations for quantum many-body systems on heterogeneous hardware, Machine Learning: Science and Technology 4
2023
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L. L. Viteritti, R. Rende, and F. Becca, Transformer variational wave functions for frustrated quantum spin systems, Phys. Rev. Lett. 130
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D. Luo, Z. Chen, K. Hu, Z. Zhao, V. M. Hur, and B. K. Clark, Gauge-invariant and anyonic-symmetric autoregressive neural network for quantum lattice models, Phys. Rev. Res. 5
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M. Reh, M. Schmitt, and M. Gärttner, Optimizing design choices for neural quantum states, Phys. Rev. B 107
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