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Supervised Quantum Learning as Quantum Channel Simulation

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Abstract

We propose a formal mapping between supervised quantum learning and the information theoretic notion of channel simulation. The mapping is exploited to define a universal learning machines that can learn from quantum data.

© 2019 The Author(s)

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