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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-ph2025
Entanglement Detection with Quantum-inspired Kernels and SVMs
Ana MartÃnez-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…