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From the 1 of 12 linked papers with an AI index.

collaborators

13 papers

cs.CV2026

Volcanic Clouds Detection through QCNN and Geostationary Satellite Multispectral Imagery

Federica Torrisi, Claudia Corradino, Alessandro Grilli +5

Recent advances in quantum computing are opening new possibilities for Earth Observation (EO) data analysis. Quantum machine learning (QML) approaches offer novel ways to process i…

physics.geo-ph2026

Hybrid Quantum CNN for Cross-Sensor Spaceborne Volcanic Thermal Activity Recognition Worldwide

Claudia Corradino, Federica Torrisi, Alessandro Grilli +5

As Earth Observation (EO) enters the Big Data era, the exponential volume of daily satellite imagery poses significant computational and storage challenges for classical Deep Learn…

quant-ph2026

Machine-Learning-Empowered Quantum Sensing of the Plaquette Phase in a Three-Level Delta System

Lorenzo Vitale, Shreyasi Mukherjee, Dario Fasone +4

The paper introduces a machine‑learning method using a multi‑layer perceptron to infer the gauge‑invariant plaquette phase of a three‑level Δ system from experimentally measurable…

quant-ph2026

Engineering Nonclassical States via the Dynamical Casimir Effect

Maristella Crotti, Luca Razzoli, Giacomo Guarnieri +3

Nonadiabatic driving in ultrastrongly coupled light--matter systems is commonly regarded as a source of errors, as counter-rotating interactions convert vacuum fluctuations into re…

quant-ph2026

Optimal control of a dissipative micromaser quantum battery in the ultrastrong coupling regime

Maristella Crotti, Luca Razzoli, Luigi Giannelli +2

We investigate the open-system dynamics of a micromaser quantum battery in the ultrastrong-coupling (USC) regime. The battery consists of a quantized harmonic mode sequentially int…

quant-ph2026

Machine Learning-Aided Optimal Control of a Qubit Subjected to External Noise

Riccardo Cantone, Shreyasi Mukherjee, Luigi Giannelli +2

We apply a machine-learning-enhanced greybox framework to a quantum optimal control protocol for open quantum systems. Combining a whitebox physical model with a neural-network bla…