activity
20092025
most citedMachine learning and the physical sciences

2.5k citations · 11k across the 97 of their papers we have counts for

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Showing 2024 · quant-phShow all

5 papers · 2 filters

quant-ph2024★ 5 cited

Time-dependent Neural Galerkin Method for Quantum Dynamics

Alessandro Sinibaldi, Douglas Hendry, Filippo Vicentini +1

We introduce a classical computational method for quantum dynamics that relies on a global-in-time variational principle. Unlike conventional time-stepping approaches, our scheme c…

quant-ph2024★ 1 cited

Simulating continuous-space systems with quantum-classical wave functions

Friederike Metz, Gabriel Pescia, Giuseppe Carleo

Most non-relativistic interacting quantum many-body systems, such as atomic and molecular ensembles or materials, are naturally described in terms of continuous-space Hamiltonians.…

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…

quant-ph2024★ 9 cited

Accurate neural quantum states for interacting lattice bosons

Zakari Denis, Giuseppe Carleo

In recent years, neural quantum states have emerged as a powerful variational approach, achieving state-of-the-art accuracy when representing the ground-state wave function of a gr…

quant-ph2024

Simulating adiabatic quantum computation with a variational approach

Giuseppe Carleo, Bela Bauer, Matthias Troyer

The theoretical analysis of the Adiabatic Quantum Computation protocol presents several challenges resulting from the difficulty of simulating, with classical resources, the unitar…