An introduction to quantum machine learning M Schuld, I Sinayskiy, F Petruccione Contemporary Physics 56 (2), 172-185, 2015 | 324 | 2015 |

The quest for a quantum neural network M Schuld, I Sinayskiy, F Petruccione Quantum Information Processing 13 (11), 2567-2586, 2014 | 192 | 2014 |

Machine learning and the physical sciences G Carleo, I Cirac, K Cranmer, L Daudet, M Schuld, N Tishby, ... Reviews of Modern Physics 91 (4), 045002, 2019 | 156 | 2019 |

Quantum machine learning in feature Hilbert spaces M Schuld, N Killoran Physical review letters 122 (4), 040504, 2019 | 140 | 2019 |

Prediction by linear regression on a quantum computer M Schuld, I Sinayskiy, F Petruccione Physical Review A 94 (2), 022342, 2016 | 94 | 2016 |

Implementing a distance-based classifier with a quantum interference circuit M Schuld, M Fingerhuth, F Petruccione EPL (Europhysics Letters) 119 (6), 60002, 2017 | 93 | 2017 |

Circuit-centric quantum classifiers M Schuld, A Bocharov, KM Svore, N Wiebe Physical Review A 101 (3), 032308, 2020 | 87 | 2020 |

Evaluating analytic gradients on quantum hardware M Schuld, V Bergholm, C Gogolin, J Izaac, N Killoran Physical Review A 99 (3), 032331, 2019 | 71 | 2019 |

Simulating a perceptron on a quantum computer M Schuld, I Sinayskiy, F Petruccione Physics Letters A 379 (7), 660-663, 2015 | 63 | 2015 |

Supervised learning with quantum computers M Schuld Springer, 2018 | 61 | 2018 |

Continuous-variable quantum neural networks N Killoran, TR Bromley, JM Arrazola, M Schuld, N Quesada, S Lloyd Physical Review Research 1 (3), 033063, 2019 | 60 | 2019 |

Quantum gradient descent and Newton’s method for constrained polynomial optimization P Rebentrost, M Schuld, L Wossnig, F Petruccione, S Lloyd New Journal of Physics 21 (7), 073023, 2019 | 52 | 2019 |

Quantum computing for pattern classification M Schuld, I Sinayskiy, F Petruccione Pacific Rim International Conference on Artificial Intelligence, 208-220, 2014 | 35 | 2014 |

Quantum walks on graphs representing the firing patterns of a quantum neural network M Schuld, I Sinayskiy, F Petruccione Physical Review A 89 (3), 032333, 2014 | 35 | 2014 |

Pennylane: Automatic differentiation of hybrid quantum-classical computations V Bergholm, J Izaac, M Schuld, C Gogolin, C Blank, K McKiernan, ... arXiv preprint arXiv:1811.04968, 2018 | 31 | 2018 |

The future of quantum biology A Marais, B Adams, AK Ringsmuth, M Ferretti, JM Gruber, R Hendrikx, ... Journal of the Royal Society Interface 15 (148), 20180640, 2018 | 28 | 2018 |

Quantum ensembles of quantum classifiers M Schuld, F Petruccione Scientific reports 8 (1), 1-12, 2018 | 18 | 2018 |

The Prevalence of Violence in Post-Conflict Societies: A Case Study of Kwazulu-Natal, South Africa M Schuld Journal of Peacebuilding & Development 9 (1), 60-73, 2013 | 17 | 2013 |

Stochastic gradient descent for hybrid quantum-classical optimization R Sweke, F Wilde, J Meyer, M Schuld, PK Fährmann, ... arXiv preprint arXiv:1910.01155, 2019 | 14 | 2019 |

Quantum embeddings for machine learning S Lloyd, M Schuld, A Ijaz, J Izaac, N Killoran arXiv preprint arXiv:2001.03622, 2020 | 6 | 2020 |