2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Forecasting Low-Dimensional Turbulence via Multi-Dimensional Hybrid Quantum Reservoir Computing
L. Salatino, L. Mariani, A. Giordano +9
The prediction of complex dynamics remains an open problem across many domains of physics, where nonlinearities and multiscale interactions severely limit the reliability of conven…
Assessing Projected Quantum Kernels for the Classification of IoT Data
Francesco D'Amore, Luca Mariani, Carlo Mastroianni +4
The use of quantum computing for machine learning is among the most promising applications of quantum technologies. Quantum models inspired by classical algorithms are developed to…
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…