convolutional neural networks 1data encoding 1extreme learning machines 1neutrino detection 1quantum machine learning 1
From the 1 of 2 linked papers with an AI index.
2 papers
quant-ph2026
Machine learning development for quantum computing and neutrino physics
Annalisa De Lorenzis
The thesis studies machine‑learning techniques for both quantum computing—via Quantum Extreme Learning Machines that encode classical data into quantum states—and neutrino physics,…
quant-ph2026
Entanglement and Classical Simulability in Quantum Extreme Learning Machines
A. De Lorenzis, M. P. Casado, N. Lo Gullo +3
Quantum Machine Learning (QML) has emerged as a promising framework for exploring how quantum dynamics may enhance data processing tasks. Here we investigate Quantum Extreme Learni…