Quantum variational distance-based centroid classifier
Quantum variational distance-based centroid classifier is a scholarly work, published in 2024 in ''Neurocomputing''. The main subjects of the publication include quantum, classifier, Multiclass classification, artificial intelligence, quantum computer, qubit, computer science, quantum computing, algorithm, parameterized complexity, quantum algorithm, machine learning, pattern recognition, quantum circuit, quantum information science, and centroid. To address these limitations, authors present the quantum Variational Distance-based Centroid Classifier (qVDCC), a hybrid approach that combines the Quantum One-Class Classifier (QOCC) and Parameterized Quantum Circuits (PQCs).