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Realization of a quantum neural network by repeat-until-success circuits in a superconducting quantum processor

ORAL

Abstract

We present the experimental realization of a quantum neural network capable of non-linear classification. By implementing control-flow feedback in a superconducting quantum processor, we synthesize non-linear activation functions using repeat-until-success circuits, demonstrating the elementary building blocks for quantum machine learning. In particular, we realize a quantum circuit that reproduces a variety of classical feed-forward neural network constructions and can learn from superpositions of training data.

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Presenters

  • Miguel Moreira

    QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Techology, Delft University of Technology, QuTech and Kavli Institute of Nanoscience, Delft University of Technology

Authors

  • Miguel Moreira

    QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Techology, Delft University of Technology, QuTech and Kavli Institute of Nanoscience, Delft University of Technology

  • Gian Giacomo Guerreschi

    Intel Labs, Intel Corporation, USA, Intel

  • Wouter J Vlothuizen

    QuTech and Netherlands Organization for Applied Scientific Research, The Netherlands, Netherlands Organisation for Applied Scientific Research, Delft University of Technology,

  • Jeroen van Straten

    QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands

  • Hans van Someren

    QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands

  • Jorge F Marques

    QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology

  • Hany Ali

    QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology

  • Nandini Muthusubramanian

    QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands

  • Christos Zachariadis

    QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology, QuTech, Kavli Institute of Nanoscience, Delft University of Technology

  • Marc Beekman

    QuTech and Netherlands Organisation for Applied Scientific Research, The Netherlands

  • Nadia Haider

    QuTech and Netherlands Organisation for Applied Scientific Research, The Netherlands, Netherlands Organisation for Applied Scientific Research

  • Alessandro Bruno

    QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology, QuTech, Kavli Institute of Nanoscience, Delft University of Technology, QuTech and Kavli Institute of Nanoscience, Delft University of Technology, and Quantware, B.V., The Netherlands

  • Carmina G Almudever

    QuTech and Quantum and Computer Engineering Department, Delft University of Technology, The Netherlands

  • Anne Y Matsuura

    Intel Corporation, Hillsboro, Intel Corporation, Santa Clara, Intel Labs, Intel Corporation, USA

  • Leonardo DiCarlo

    QuTech and Kavli Institute of Nanoscience, Delft University of Technology, The Netherlands, Delft University of Technology