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 | 545 | 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 | 398 | 2020 |

Photon blockade in the ultrastrong coupling regime A Ridolfo, M Leib, S Savasta, MJ Hartmann Physical review letters 109 (19), 193602, 2012 | 350 | 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 | 299 | 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 | 213 | 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 | 142 | 2020 |

Industry quantum computing applications A Bayerstadler, G Becquin, J Binder, T Botter, H Ehm, T Ehmer, ... EPJ Quantum Technology 8 (1), 25, 2021 | 125 | 2021 |

Single-photon transistor in circuit quantum electrodynamics L Neumeier, M Leib, MJ Hartmann Physical review letters 111 (6), 063601, 2013 | 120 | 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 | 102 | 2010 |

Networks of nonlinear superconducting transmission line resonators M Leib, F Deppe, A Marx, R Gross, M Hartmann New Journal of Physics, 075024, 2012 | 82 | 2012 |

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 | 78 | 2016 |

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 | 75 | 2014 |

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 | 64 | 2019 |

Comparison of QAOA with quantum and simulated annealing M Streif, M Leib arXiv preprint arXiv:1901.01903, 2019 | 58 | 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 | 57 | 2021 |

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 | 43 | 2003 |

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

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 | 32 | 2021 |

Co-Design quantum simulation of nanoscale NMR MG Algaba, M Ponce-Martinez, C Munuera-Javaloy, V Pina-Canelles, ... Physical Review Research 4 (4), 043089, 2022 | 13 | 2022 |

Solving the shipment rerouting problem with quantum optimization techniques S Yarkoni, A Huck, H Schülldorf, B Speitkamp, MS Tabrizi, M Leib, T Bäck, ... Computational Logistics: 12th International Conference, ICCL 2021, Enschede …, 2021 | 11 | 2021 |