most citedMulti-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

quant-ph2026

eigenkit: A Provider-Neutral Quantum Computing Library

Laia Domingo, Daniil Tarpanov, Arsenii Senokosov +1

Quantum software ecosystems provide increasingly capable tools for simulation and hardware execution, but differences in programming models, supported features, and backend capabil…

cond-mat.mtrl-sci2026★ 1 cited

Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials

G. Laskaris, D. Morozov, D. Tarpanov +6

Allegro is a machine learning interatomic potential model designed to predict atomic properties in molecules using E(3) equivariant neural networks. When training this model, there…