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.
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