On a reduced SDSS dataset, quantum-kernel QSVM outperforms HHL LS-SVM, classical SVMs are slightly ahead, and the HHL method's constant scaling stems from using only two class-average representatives.
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Quantum kernel and HHL-based support vector machines for multi-class classification
On a reduced SDSS dataset, quantum-kernel QSVM outperforms HHL LS-SVM, classical SVMs are slightly ahead, and the HHL method's constant scaling stems from using only two class-average representatives.