A 15-qubit deep variational quantum classifier trained on brain tumor microarray data attains about 85 percent cross-validated accuracy, comparable to some classical models but below SVM and random forest.
Gene selection and classification for cancer microarray data based on machine learning and similarity measures,
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Quantum-Enhanced Classification of Brain Tumors Using DNA Microarray Gene Expression Profiles
A 15-qubit deep variational quantum classifier trained on brain tumor microarray data attains about 85 percent cross-validated accuracy, comparable to some classical models but below SVM and random forest.