3 papers
quant-ph2026
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…
quant-ph2025
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…
quant-ph2024
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…