4 citations · 4 across the 3 of their papers we have counts for
3 papers
Federating Quantum and Classical Computing: A Privacy-Preserving Hybrid Approach
Carlos Cano, Daniel M. Jimenez-Gutierrez, Diego Sal +4
Quantum machine learning (QML) is increasingly recognized as one of the most promising near-term applications of quantum computing, viewed as a next-frontier candidate beyond purel…
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…
Entanglement Detection with Quantum-inspired Kernels and SVMs
Ana Martínez-Sabiote, Michalis Skotiniotis, Jara J. Bermejo-Vega +2
This work presents a machine learning approach based on support vector machines (SVMs) for quantum entanglement detection. Particularly, we focus in bipartite systems of dimensions…