Quantum kernel support vector machines for trabecular bone classification: comparing feature reduction strategies on synthetic micro-CT data
Isabella Florez, Ahmed Farhat, James Le Houx, Edoardo Altamura, Gianluca Tozzi
This paper compares dimensionality reduction strategies for quantum kernel SVMs on synthetic micro-CT trabecular bone data, finding UMAP maintains competitiveness while linear methods show quantum deficits.
bioRxiv · May 7, 2026 · PreprintBiophysics