3 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-ph2025
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…
quant-ph2022
Quantum activation functions for quantum neural networks
Marco Maronese, Claudio Destri, Enrico Prati
The field of artificial neural networks is expected to strongly benefit from recent developments of quantum computers. In particular, quantum machine learning, a class of quantum a…