IonQ Forte

Quantum optimization framework shows promise for machine learning feature selection

Researchers have developed a novel quantum feature selection framework utilizing higher-order binary optimization on trapped-ion hardware. This approach incorporates multivariate dependencies beyond standard quadratic e…