Supervised quantum gate "teaching" for quantum hardware design

07/20/2016

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by   Leonardo Banchi, et al.

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We show how to train a quantum network of pairwise interacting qubits such that its evolution implements a target quantum algorithm into a given network subset. Our strategy is inspired by supervised learning and is designed to help the physical construction of a quantum computer which operates with minimal external classical control.