3 papers
nucl-th2026
Nuclear-physics-guided Gaussian Processes
Javier Rozalén Sarmiento, Hristijan Kochankovski, Arnau Rios +1
Gaussian Process Regression is a powerful nonparametric Bayesian method that provides both predictions and principled uncertainty estimates in closed form. The majority of past app…
quant-ph2025
Quantum Dynamics with Time-Dependent Neural Quantum States
Alejandro Romero-Ros, Javier Rozalén Sarmiento, Arnau Rios
We present proof-of-principle time-dependent neural quantum state (NQS) simulations to illustrate the ability of this approach to effectively capture key aspects of quantum dynamic…
nucl-th2024
Fermionic Neural Networks through the lens of Group Theory
J. Rozalén Sarmiento, A. Rios
We present an overview of the method of Neural Quantum States applied to the many-body problem of atomic nuclei. Through the lens of group representation theory, we focus on the pr…