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cs.LG2023★ 3 cited
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…
cs.LG2019★ 186 cited
Support vector machines on the D-Wave quantum annealer
Dennis Willsch, Madita Willsch, Hans De Raedt +1
Kernel-based support vector machines (SVMs) are supervised machine learning algorithms for classification and regression problems. We introduce a method to train SVMs on a D-Wave 2…