A HUBO model with three-body mutual-information terms is optimized on IonQ trapped-ion hardware and produces compact feature subsets with classification performance competitive to classical baselines on two benchmark datasets.
Early prediction of gallstone disease with a machine learning-based method from bioimpedance and laboratory data
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Quantum Feature Selection with Higher-Order Binary Optimization on Trapped-Ion Hardware
A HUBO model with three-body mutual-information terms is optimized on IonQ trapped-ion hardware and produces compact feature subsets with classification performance competitive to classical baselines on two benchmark datasets.