38 citations · 150 across the 12 of their papers we have counts for
3 papers · 1 filter
Memory-Augmented Hybrid Quantum Reservoir Computing
J. Settino, L. Salatino, L. Mariani +9
Reservoir computing (RC) is an effective method for predicting chaotic systems by using a high-dimensional dynamic reservoir with fixed internal weights, while keeping the learning…
Harnessing Quantum Extreme Learning Machines for image classification
A. De Lorenzis, M. P. Casado, M. P. Estarellas +5
Interest in quantum machine learning is increasingly growing due to its potential to offer more efficient solutions for problems that are difficult to tackle with classical methods…
Variational Quantum Algorithms for the Allocation of Resources in a Cloud/Edge Architecture
Carlo Mastroianni, Francesco Plastina, Jacopo Settino +1
Modern Cloud/Edge architectures need to orchestrate multiple layers of heterogeneous computing nodes, including pervasive sensors/actuators, distributed Edge/Fog nodes, centralized…