7 citations · 10 across the 3 of their papers we have counts for
4 papers
Hybrid Quantum-Classical Corrective Diffusion Modeling for Meteorological Downscaling
Rui Wang, Edoardo Pasetto, Amer Delilbasic +3
Statistical downscaling is a crucial component of the weather modeling field, where high-resolution outputs must be reconstructed from coarse-resolution inputs with the full cost o…
Large-Scale Quantum Kernels for Hyperspectral Data Classification
A. Delilbasic, A. Miroszewski, A. Wijata +4
Quantum kernel methods have emerged as a promising approach for leveraging high-dimensional feature spaces in machine learning, particularly in domains where classical kernel metho…
Local Binary and Multiclass SVMs Trained on a Quantum Annealer
Enrico Zardini, Amer Delilbasic, Enrico Blanzieri +2
Support vector machines (SVMs) are widely used machine learning models (e.g., in remote sensing), with formulations for both classification and regression tasks. In the last years,…
A Single-Step Multiclass SVM based on Quantum Annealing for Remote Sensing Data Classification
Amer Delilbasic, Bertrand Le Saux, Morris Riedel +2
In recent years, the development of quantum annealers has enabled experimental demonstrations and has increased research interest in applications of quantum annealing, such as in q…