Supervised quantum gate "teaching" for quantum hardware design
arXiv:1607.06146
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.
6 pages, 1 figure, based on arXiv:1509.04298