236 citations · 1k across the 21 of their papers we have counts for
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jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration
Markus Schmitt, Moritz Reh
The introduction of Neural Quantum States (NQS) has recently given a new twist to variational Monte Carlo (VMC). The ability to systematically reduce the bias of the wave function…
Quantum phase transition dynamics in the two-dimensional transverse-field Ising model
Markus Schmitt, Marek M. Rams, Jacek Dziarmaga +2
The quantum Kibble-Zurek mechanism (QKZM) predicts universal dynamical behavior near the quantum phase transitions (QPTs). It is now well understood for the one-dimensional quantum…
Time-dependent variational principle for open quantum systems with artificial neural networks
Moritz Reh, Markus Schmitt, Martin Gärttner
We develop a variational approach to simulating the dynamics of open quantum many-body systems using deep autoregressive neural networks. The parameters of a compressed representat…
From observations to complexity of quantum states via unsupervised learning
Markus Schmitt, Zala Lenarčič
The vast complexity is a daunting property of generic quantum states that poses a significant challenge for theoretical treatment, especially in non-equilibrium setups. Therefore,…