3 papers
quant-ph2025
Exploring Topologies in Quantum Annealing: A Hardware-Aware Perspective
Mario Bifulco, Luca Roversi
Quantum Annealing (QA) offers a promising framework for solving NP-hard optimization problems, but its effectiveness is constrained by the topology of the underlying quantum hardwa…
quant-ph2025
Exploring an implementation of quantum learning pipeline for support vector machines
Mario Bifulco, Luca Roversi
This work presents a fully quantum approach to support vector machine (SVM) learning by integrating gate-based quantum kernel methods with quantum annealing-based optimization. We…
cs.AI2024
Quantum-Classical Sentiment Analysis
Mario Bifulco, Luca Roversi
In this study, we initially investigate the application of a hybrid classical-quantum classifier (HCQC) for sentiment analysis, comparing its performance against the classical CPLE…