activity
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 2024Show all

5 papers · 1 filter

cond-mat.stat-mech2024★ 2 cited

Phase diagram and crystal melting of helium-4 in two dimensions

David Linteau, Gabriel Pescia, Jannes Nys +2

We study the zero-temperature phase diagram of two-dimensional helium-4 using neural quantum states. Our variational description allows us to address liquid and solid phases using…

quant-ph2024★ 1 cited

Local fermion-to-qudit mappings: a practical recipe for four-level systems

Rodolfo Carobene, Stefano Barison, Andrea Giachero +1

In this paper, we present a new set of local fermion-to-qudit mappings for simulating fermionic lattice systems. We focus on the use of multi-level qudits, specifically ququarts. T…

quant-ph2024★ 6 cited

Predicting Topological Entanglement Entropy in a Rydberg analog simulator

Linda Mauron, Zakari Denis, Jannes Nys +1

Predicting the dynamical properties of topological matter is a challenging task, not only in theoretical and experimental settings, but also numerically. This work proposes a varia…

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,…