arXiv · 1607.06146
Supervised quantum gate "teaching" for quantum hardware design
Abstract
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.
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Leonardo Banchi, Nicola Pancotti, Sougato Bose. 2016-07-20. Supervised quantum gate "teaching" for quantum hardware design. https://arxiv.org/abs/1607.06146
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