3 papers
cs.AI2026
Quantum Reinforcement Learning with Transformers for the Capacitated Vehicle Routing Problem
Eva Andrés
This paper addresses the Capacitated Vehicle Routing Problem (CVRP) by comparing classical and quantum Reinforcement Learning (RL) approaches. An Advantage Actor-Critic (A2C) agent…
cs.ET2025
Brain-Inspired Quantum Neural Architectures for Pattern Recognition: Integrating QSNN and QLSTM
Eva Andrés, Manuel Pegalajar Cuéllar, Gabriel Navarro
Recent advances in the fields of deep learning and quantum computing have paved the way for innovative developments in artificial intelligence. In this manuscript, we leverage thes…
cond-mat.mtrl-sci2024
A variational method for the simulation of hydrogen diffusion in metals
Eva M. Andrés, Ignacio Romero
We present a new method for the approximate solution of the strongly coupled, nonlinear stress-diffusion problem that appears when modeling hydrogen transport in metals. The most s…