6 papers
Neural quantum states in condensed matter: advances, best practices, and prospects
Jonas B. Rigo, Björn J. Wurst, Rajah Nutakki +2
Neural quantum states provide flexible variational representations of quantum many-body wave functions by combining neural-network parametrizations with Monte Carlo sampling. In th…
Compressed minimum-purity time evolution for late-time quantum dynamics
Moksh Bhateja, Jonas B. Rigo, Markus Schmitt
Unitary time evolution of initially simple quantum many-body states rapidly generates entanglement and complex correlations, which limits direct numerical simulations. The late-tim…
Neural network modeling of many-body super- and sub-radiant dynamics
Gianluca Lagnese, Laurin Brunner, Lorenzo Rossi +3
There is significant interest in exploring novel phenomena in quantum light-matter interfaces, which are driven by the combination of structured dissipation and long-range interact…
Time-dependent variational Monte Carlo without bias
Wladislaw Krinitsin, Markus Schmitt
When combined with highly expressive ansatz functions such as neural quantum states, variational Monte Carlo (VMC) constitutes a versatile numerical approach to tackle the quantum…
Many-body dynamics with explicitly time-dependent neural quantum states
Anka Van de Walle, Markus Schmitt, Annabelle Bohrdt
Simulating the dynamics of many-body quantum systems is a significant challenge, especially in higher dimensions where entanglement grows rapidly. Neural quantum states (NQS) offer…
Neural Quantum States and Peaked Molecular Wave Functions: Curse or Blessing?
Aleksei Malyshev, Markus Schmitt, A. I. Lvovsky
The field of neural quantum states has recently experienced a tremendous progress, making them a competitive tool of computational quantum many-body physics. However, their largest…