147 citations · 346 across the 6 of their papers we have counts for
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quant-ph2021★ 147 cited
NetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems
Filippo Vicentini, Damian Hofmann, Attila Szabó +8
We introduce version 3 of NetKet, the machine learning toolbox for many-body quantum physics. NetKet is built around neural-network quantum states and provides efficient algorithms…
cond-mat.str-el2021★ 34 cited
Role of stochastic noise and generalization error in the time propagation of neural-network quantum states
Damian Hofmann, Giammarco Fabiani, Johan H. Mentink +2
Neural-network quantum states (NQS) have been shown to be a suitable variational ansatz to simulate out-of-equilibrium dynamics in two-dimensional systems using time-dependent vari…