Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine learning, thereby improving a classical machine learning method.
One line of approaches is based on the idea of amplitude encoding, that is, to associate the amplitudes of a quantum state with the inputs and outputs of computations [REF].