Supervised quantum gate "teaching" for quantum hardware design
  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. 
Leonardo Banchi, Nicola Pancotti, Sougato Bose
cs.LG quant-ph stat.ML