6 citations · 10 across the 3 of their papers we have counts for
3 papers
cond-mat.str-el2024
Fitness landscape for quantum state tomography from neutron scattering
Tymoteusz Tula, Jorge Quintanilla, Gunnar Möller
Recently, a direct connection between static structure factors and quantum ground states for two-spin interaction Hamiltonians was proven. This suggests the possibility of quantum…
cond-mat.mtrl-sci2021★ 4 cited
Joint machine learning analysis of muon spectroscopy data from different materials
T. Tula, G. Möller, J. Quintanilla +6
Machine learning (ML) methods have proved to be a very successful tool in physical sciences, especially when applied to experimental data analysis. Artificial intelligence is parti…
cond-mat.mtrl-sci2020★ 6 cited
Machine Learning approach to muon spectroscopy analysis
T. Tula, G. Möller, J. Quintanilla +6
In recent years, Artificial Intelligence techniques have proved to be very successful when applied to problems in physical sciences. Here we apply an unsupervised Machine Learning…