Quantum-enhanced machine learning refers to quantum algorithms that solve tasks in machine
learning thereby improving a classical machine learning method. Such algorithms typically
require one to encode the given classical dataset into a quantum computer so as to make it
accessible for quantum information processing. After this quantum information processing
routines can be applied and the result of the quantum computation is read out by measuring the
quantum system. While many proposals of quantum machine learning algorithms are still purely
theoretical and require a full-scale universal quantum computer to be tested others have been
implemented on small-scale or special purpose quantum devices.
