3 citations · 4 across the 8 of their papers we have counts for
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Constraint-preserving quantum algorithm for the multi-frequency antenna placement problem
Matteo Vandelli, Francesco Ferrari, Daniele Dragoni
Quantum algorithms for combinatorial optimization typically encode constraints as soft penalties within the objective function, which can reduce efficiency and scalability compared…
High-expressibility Quantum Neural Networks using only classical resources
Marco Maronese, Francesco Ferrari, Matteo Vandelli +1
Quantum neural networks (QNNs), as currently formulated, are near-term quantum machine learning architectures that leverage parameterized quantum circuits with the aim of improving…
Parallel splitting method for large-scale quadratic programs
Matteo Vandelli, Francesco Ferrari, Daniele Dragoni
Current algorithms for large-scale industrial optimization problems typically face a trade-off: they either require exponential time to reach optimal solutions, or employ problem-s…