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20142025
most citedNetKet 3: Machine Learning Toolbox for Many-Body Quantum Systems

147 citations · 988 across the 37 of their papers we have counts for

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Showing cond-mat.str-elShow all

6 papers · 1 filter

cond-mat.str-el2025★ 2 cited

Partial suppression of magnetism in the square lattice SU(3) Hubbard model

Samuel Bird, Sebastian Huber, Jannes Nys

The SU(N) Hubbard model is a natural extension of the SU(2) model. However, even the N=3 case remains poorly understood. We report a substantially new ground-state phase diagram of…

cond-mat.str-el2024★ 5 cited

Spectroscopy of two-dimensional interacting lattice electrons using symmetry-aware neural backflow transformations

Imelda Romero, Jannes Nys, Giuseppe Carleo

Neural networks have shown to be a powerful tool to represent the ground state of quantum many-body systems, including fermionic systems. However, efficiently integrating lattice s…

cond-mat.str-el2024★ 23 cited

Ab-initio variational wave functions for the time-dependent many-electron Schrödinger equation

Jannes Nys, Gabriel Pescia, Alessandro Sinibaldi +1

Understanding the real-time evolution of many-electron quantum systems is essential for studying dynamical properties in condensed matter, quantum chemistry, and complex materials,…

cond-mat.str-el2022★ 18 cited

Variational solutions to fermion-to-qubit mappings in two spatial dimensions

Jannes Nys, Giuseppe Carleo

Through the introduction of auxiliary fermions, or an enlarged spin space, one can map local fermion Hamiltonians onto local spin Hamiltonians, at the expense of introducing a set…

cond-mat.str-el2021★ 27 cited

Many-Body Quantum States with Exact Conservation of Non-Abelian and Lattice Symmetries through Variational Monte Carlo

Tom Vieijra, Jannes Nys

Optimization of quantum states using the variational principle has recently seen an upsurge due to developments of increasingly expressive wave functions. In order to improve on th…

cond-mat.str-el2019★ 104 cited

Restricted Boltzmann Machines for Quantum States with Nonabelian or Anyonic Symmetries

Tom Vieijra, Corneel Casert, Jannes Nys +4

Although artificial neural networks have recently been proven to provide a promising new framework for constructing quantum many-body wave functions, the parameterization of a quan…