2 papers
quant-ph2025
QUBO-based training for VQAs on Quantum Annealers
Ernesto Acosta, Guillermo Botella, Carlos Cano
Quantum annealers provide an effective framework for solving large-scale combinatorial optimization problems. This work presents a novel methodology for training Variational Quantu…
quant-ph2024
Adiabatic training for Variational Quantum Algorithms
Ernesto Acosta, Carlos Cano Gutierrez, Guillermo Botella +1
This paper presents a new hybrid Quantum Machine Learning (QML) model composed of three elements: a classical computer in charge of the data preparation and interpretation; a Gate-…