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We utilize neural network quantum states (NQS) to investigate the ground state properties of the Heisenberg model on a Shastry-Sutherland lattice using the variational Monte Carlo method.
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Neural network wave functions and the sign problem ,
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Symmetries and Many-Body Excitations with Neural-Network Quantum States ,
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Third Boundary of the Shastry–Sutherland Model by Numerical Diagonalization ,
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Thermodynamic properties of the Shastry-Sutherland model from quantum Monte Carlo simulations ,
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Neural-network quantum state tomography ,
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Ground state and stability of the fractional plateau phase in metallic Shastry–Sutherland system TmB 4 \text{TmB}{\vphantom{\text{X}}}_{\smash[t]{\text{4}}} ,
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Low-energy quantum fluctuations and frustrated magnetism in rare-earth-based Shastry-Sutherland lattices: Insights on the CaCo 2 Al 8 \text{CaCo}{\vphantom{\text{X}}}_{\smash[t]{\text{2}}}\text{Al}{\vphantom{\text{X}}}_{\smash[t]{\text{8}}} structure type antiferromagnets ,
M. Ogunbunmi and A. Strydom, · 2021
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Helping restricted Boltzmann machines with quantum-state representation by restoring symmetry ,
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Group Convolutional Neural Networks Improve Quantum State Accuracy ,
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NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems ,
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Modern applications of machine learning in quantum sciences ,
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Accuracy of restricted Boltzmann machines for the one-dimensional J 1 − J 2 J_{1}-J_{2} Heisenberg model ,
L. L. Viteritti, F. Ferrari and F. Becca, · 2022
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Neural tensor contractions and the expressive power of deep neural quantum states ,
O. Sharir, A. Shashua and G. Carleo, · 2022
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Quantum criticality and spin liquid phase in the Shastry-Sutherland model ,
J. Yang, A. W. Sandvik and L. Wang, · 2022
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Fractional magnetization plateaux of a spin-1/2 Heisenberg model on the Shastry-Sutherland lattice: effect of quantum XY interdimer coupling ,
T. Verkholyak and J. Strecka, · 2022
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Rise and fall of plaquette order in the Shastry-Sutherland magnet revealed by pseudofermion functional renormalization group ,
A. Keleş and E. Zhao, · 2022
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DeepQMC: An open-source software suite for variational optimization of deep-learning molecular wave functions ,
Z. Schätzle, P. B. Szabó, M. Mezera, J. Hermann and F. Noé, · 2023
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Variational Benchmarks for Quantum Many-Body Problems ,
D. Wu, R. Rossi, F. Vicentini, N. Astrakhantsev, F. Becca, X. Cao, J. Carrasquilla, F. Ferrari, A. Georges, M. Hibat-Allah, M. Imada, A. M. Läuchli et al. , · 2023
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