3 citations · 3 across the 4 of their papers we have counts for
4 papers
Optimised Feature Subset Selection via Simulated Annealing
Fernando Martínez-García, Álvaro Rubio-García, Samuel Fernández-Lorenzo +2
We introduce SA-FDR, a novel algorithm for -norm feature selection that considers this task as a combinatorial optimisation problem and solves it by using simulated anneali…
Universal resources for quantum approximate optimization algorithm and quantum annealing
Pablo Díez-Valle, Fernando J. Gómez-Ruiz, Diego Porras +1
The Quantum Approximate Optimization Algorithm (QAOA) is a variational ansatz that resembles the Trotterized dynamics of a Quantum Annealing (QA) protocol. This work formalizes thi…
Problem hardness of diluted Ising models: Population Annealing versus Simulated Annealing
Fernando Martínez-García, Diego Porras
Population annealing is a variant of the simulated annealing algorithm that improves the quality of the thermalization process in systems with rough free-energy landscapes by intro…
Learning Generalized Statistical Mechanics with Matrix Product States
Pablo Díez-Valle, Fernando Martínez-García, Juan José García-Ripoll +1
We introduce a variational algorithm based on Matrix Product States that is trained by minimizing a generalized free energy defined using Tsallis entropy instead of the standard Gi…