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quant-ph2026
Quantum anomaly detection in real scarce data
Emanuele Casciaro, Fabio Mascherpa, Alfonso Amendola +1
Anomaly detection on small and unbalanced datasets remains very challenging in machine learning, although this scenario is common in several domains, including healthcare, cybersec…
quant-ph2026
Divide et Impera quantum neural networks for modular hybrid computing architectures
Emanuele Casciaro, Fabio Mascherpa, Alfonso Amendola +1
Quantum machine learning is rapidly emerging as a promising and potentially more sustainable approach that can complement traditional, energy-hungry HPC, AI, and GPU resources-part…