2 papers
quant-ph2026
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…
quant-ph2026
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…