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Quantum Kernel Alignment (QKA) for the purpose of binary classification. QKA iteratively adjusts a quantum kernel that’s parameterized to fit a dataset, aiming for the largest possible margin in Support Vector Machines (SVM). For further details on QKA, reference is made to the preprint titled