2 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…