3 citations · 3 across the 7 of their papers we have counts for
5 papers · 1 filter
Geometric inflation of deviations challenges neural quantum states in dynamics of quantum Ising models
Wladislaw Krinitsin, Jonas B. Rigo, Mohammad Abedi +1
Neural quantum states (NQS) have emerged as a powerful framework for simulating non-equilibrium dynamics in strongly correlated quantum systems, offering scalable variational repre…
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…