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Showing 1–6 of 6 results
Advanced filters: Author: Jannes Nys Clear advanced filters

  • Accurate description of electronic wave functions typically requires large numbers of Slater determinants. Here, the authors develop an optimization method that achieves state-of-the-art accuracy for small molecules with only few hundred determinants.

    • Clemens Giuliani
    • Jannes Nys
    • Riccardo Rossi
    ResearchOpen Access
    Nature Communications
    P: 1-10

  • Variational parameterization of many-body wavefunctions using neural network quantum states is a powerful technique for studying many-body quantum systems but has been limited to time-independent cases. Nys et al. extend this approach to real-time evolution, providing improved accuracy over traditional methods.

    • Jannes Nys
    • Gabriel Pescia
    • Giuseppe Carleo
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-11

  • A numerical approach capable of simulating large-scale Rydberg atom quantum systems suggests that protocols for preparing topological states can produce experimental signatures of these states without reaching a topological phase.

    • Linda Mauron
    • Zakari Denis
    • Giuseppe Carleo
    ResearchOpen Access
    Nature Physics
    Volume: 21, P: 1332-1337

  • In this manuscript, the authors introduce a method for numerically modelling fermionic systems using a neural network wavefunction ansatz. They demonstrate that this method can efficiently and accurately find ground and low-lying excited states in two-dimensional models, outperforming existing approaches.

    • Imelda Romero
    • Jannes Nys
    • Giuseppe Carleo
    ResearchOpen Access
    Communications Physics
    Volume: 8, P: 1-10

  • The theoretical description of ultra-cold Fermi gases is challenging due to the presence of strong, short-ranged interactions. This work introduces a Pfaffian-Jastrow neural-network quantum state that outperforms existing Slater-Jastrow frameworks and diffusion Monte Carlo methods.

    • Jane Kim
    • Gabriel Pescia
    • Alessandro Lovato
    ResearchOpen Access
    Communications Physics
    Volume: 7, P: 1-12