3 papers
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…
cond-mat.dis-nn2026
Cluster-based Message-Passing (CluMP) Optimization for Complex QUBO Problems
Paolo Rissone, Stefan Boettcher, Alfonso Amendola +2
Quadratic Unconstrained Boolean Optimization (QUBO) problems are widespread in both industrial applications and scientific studies. A QUBO problem corresponds to the optimization o…