Quantum approximate optimization of non-planar graph problems on a planar superconducting processor MP Harrigan, KJ Sung, M Neeley, KJ Satzinger, F Arute, K Arya, J Atalaya, ... Nature Physics 17 (3), 332-336, 2021 | 477 | 2021 |

Tensorflow quantum: A software framework for quantum machine learning M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv preprint arXiv:2003.02989, 2020 | 342 | 2020 |

Photon blockade in the ultrastrong coupling regime A Ridolfo, M Leib, S Savasta, MJ Hartmann Physical review letters 109 (19), 193602, 2012 | 332 | 2012 |

Layerwise learning for quantum neural networks A Skolik, JR McClean, M Mohseni, P van der Smagt, M Leib Quantum Machine Intelligence 3, 1-11, 2021 | 244 | 2021 |

Photon solid phases in driven arrays of nonlinearly coupled cavities J Jin, D Rossini, R Fazio, M Leib, MJ Hartmann Physical review letters 110 (16), 163605, 2013 | 205 | 2013 |

Training the quantum approximate optimization algorithm without access to a quantum processing unit M Streif, M Leib Quantum Science and Technology 5 (3), 034008, 2020 | 119 | 2020 |

Single-photon transistor in circuit quantum electrodynamics L Neumeier, M Leib, MJ Hartmann Physical review letters 111 (6), 063601, 2013 | 116 | 2013 |

Bose–Hubbard dynamics of polaritons in a chain of circuit quantum electrodynamics cavities M Leib, MJ Hartmann New Journal of Physics 12 (9), 093031, 2010 | 99 | 2010 |

Networks of nonlinear superconducting transmission line resonators M Leib, F Deppe, A Marx, R Gross, M Hartmann New Journal of Physics, 075024, 2012 | 80 | 2012 |

Steady-state phase diagram of a driven QED-cavity array with cross-Kerr nonlinearities J Jin, D Rossini, M Leib, MJ Hartmann, R Fazio Physical Review A 90 (2), 023827, 2014 | 73 | 2014 |

Industry quantum computing applications A Bayerstadler, G Becquin, J Binder, T Botter, H Ehm, T Ehmer, ... EPJ Quantum Technology 8 (1), 25, 2021 | 72 | 2021 |

A transmon quantum annealer: decomposing many-body Ising constraints into pair interactions M Leib, P Zoller, W Lechner Quantum Science and Technology 1 (1), 015008, 2016 | 71 | 2016 |

Solving quantum chemistry problems with a d-wave quantum annealer M Streif, F Neukart, M Leib Quantum Technology and Optimization Problems: First International Workshop …, 2019 | 54 | 2019 |

Comparison of QAOA with quantum and simulated annealing M Streif, M Leib arXiv preprint arXiv:1901.01903, 2019 | 51 | 2019 |

Beating classical heuristics for the binary paint shop problem with the quantum approximate optimization algorithm M Streif, S Yarkoni, A Skolik, F Neukart, M Leib Physical Review A 104 (1), 012403, 2021 | 47 | 2021 |

Synchronized switching in a Josephson junction crystal M Leib, MJ Hartmann Physical Review Letters 112 (22), 223603, 2014 | 36 | 2014 |

Tensorflow quantum: a software framework for quantum machine learning. 2020 M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv preprint arXiv:2003.02989, 2003 | 32 | 2003 |

Quantum algorithms with local particle-number conservation: Noise effects and error correction M Streif, M Leib, F Wudarski, E Rieffel, Z Wang Physical Review A 103 (4), 042412, 2021 | 25 | 2021 |

Industry quantum computing applications B Andreas, B Guillaume, J Binder, B Thierry, H Ehm, T Ehmer, M Erdmann, ... EPJ Quantum Technology 8 (1), 2021 | 10 | 2021 |

Many body physics with coupled transmission line resonators M Leib, MJ Hartmann Physica Scripta 2013 (T153), 014042, 2013 | 10 | 2013 |