10 papers
Quantum Computing for Industrial Electromagnetics: Applicability and Case Studies in Solving Maxwell's Equations
Francesco Turro, Marco Maronese, Daniele Dragoni
Computational electromagnetics plays a central role in many industrial applications but often requires substantial computational resources, particularly when fine spatial discretiz…
A Resource-Efficient Quantum Framework for Graph Coloring and Chromatic Number Estimation
Francesco Turro, Daniele Dragoni
Many industrial optimization tasks can be modeled as graph coloring, where adjacent vertices must have different colors. This NP-hard problem is challenging for large graphs. We pr…
Feasibility-driven QAOA with penalty scheduling
Francesco Ferrari, Matteo Vandelli, Daniele Dragoni
Most available quantum algorithms address constrained optimization problems by treating constraints as soft penalty terms within a QUBO formulation. This approach requires careful…
Emergency hub placement with a neutral-atom quantum computer
Sara Tarquini, Matteo Vandelli, Francesco Ferrari +2
We study the problem of emergency operation center placement in disaster response, where a minimal number of hubs must be selected to ensure timely coverage of all affected locatio…
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…
Drone delivery packing problem on a neutral-atom quantum computer
Sara Tarquini, Matteo Vandelli, Francesco Ferrari +2
Quantum architectures based on neutral atoms have gained significant attention in recent years as specialized computational machines due to their ability to directly encode the ind…