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Artificial neural networks and tensor networks in Variational Monte Carlo
(2022) -
- Journal Article
- A1
- open access
Direct sampling of projected entangled-pair states
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- Journal Article
- A1
- open access
Many-body quantum states with exact conservation of non-Abelian and lattice symmetries through variational Monte Carlo
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- Journal Article
- A1
- open access
Dynamical large deviations of two-dimensional kinetically constrained models using a neural-network state ansatz
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- Journal Article
- A2
- open access
Optical lattice experiments at unobserved conditions with generative adversarial deep learning
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- Journal Article
- A1
- open access
Restricted Boltzmann machines for quantum states with non-abelian or anyonic symmetries
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- Journal Article
- A1
- open access
Isospin composition of the high-momentum fluctuations in nuclei from asymptotic momentum distributions
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Interpretable machine learning for inferring the phase boundaries in a nonequilibrium system