3 papers
quant-ph2026
Parameterized Quantum Circuits as Feature Maps: Representation Quality and Readout Effects in Multispectral Land-Cover Classification
Ralntion Komini, Aikaterini Mandilara, Georgios Maragkopoulos +1
We investigate variational quantum classifiers (VQCs) for land-cover classification from multispectral satellite imagery, adopting a feature-map perspective in which the quantum ci…
quant-ph2026
Quantum-Inspired Unitary Pooling for Multispectral Satellite Image Classification
Georgios Maragkopoulos, Aikaterini Mandilara, Ralntion Komini +1
Multispectral satellite imagery poses significant challenges for deep learning models due to the high dimensionality of spectral data and the presence of structured correlations ac…
quant-ph2025
Learning kernels with quantum optical circuits
A. Mandilara, A. D. Papadopoulos, D. Syvridis
Support Vector Machines (SVMs) are a cornerstone of supervised learning, widely used for data classification. A central component of their success lies in kernel functions, which e…