Benchmarking the quantum approximate optimization algorithm M Willsch, D Willsch, F Jin, H De Raedt, K Michielsen Quantum Information Processing 19, 1-24, 2020 | 157 | 2020 |

Support vector machines on the D-Wave quantum annealer D Willsch, M Willsch, H De Raedt, K Michielsen Computer physics communications 248, 107006, 2020 | 142 | 2020 |

Massively parallel quantum computer simulator, eleven years later H De Raedt, F Jin, D Willsch, M Willsch, N Yoshioka, N Ito, S Yuan, ... Computer Physics Communications 237, 47-61, 2019 | 120 | 2019 |

Benchmarking gate-based quantum computers K Michielsen, M Nocon, D Willsch, F Jin, T Lippert, H De Raedt Computer Physics Communications 220, 44-55, 2017 | 87 | 2017 |

Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems D Willsch, M Willsch, CD Gonzalez Calaza, F Jin, H De Raedt, ... Quantum Information Processing 21 (4), 141, 2022 | 75 | 2022 |

Gate-error analysis in simulations of quantum computers with transmon qubits D Willsch, M Nocon, F Jin, H De Raedt, K Michielsen Physical Review A 96 (6), 062302, 2017 | 58 | 2017 |

Random state technology F Jin, D Willsch, M Willsch, H Lagemann, K Michielsen, H De Raedt Journal of the Physical Society of Japan 90 (1), 012001, 2021 | 47 | 2021 |

Testing quantum fault tolerance on small systems D Willsch, M Willsch, F Jin, H De Raedt, K Michielsen Physical Review A 98 (5), 052348, 2018 | 32 | 2018 |

Approaching remote sensing image classification with ensembles of support vector machines on the d-wave quantum annealer G Cavallaro, D Willsch, M Willsch, K Michielsen, M Riedel IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 31 | 2020 |

Quantum nondemolition dispersive readout of a superconducting artificial atom using large photon numbers D Gusenkova, M Spiecker, R Gebauer, M Willsch, D Willsch, F Valenti, ... Physical Review Applied 15 (6), 064030, 2021 | 30 | 2021 |

GPU-accelerated simulations of quantum annealing and the quantum approximate optimization algorithm D Willsch, M Willsch, F Jin, K Michielsen, H De Raedt Computer Physics Communications 278, 108411, 2022 | 26 | 2022 |

Garden optimization problems for benchmarking quantum annealers CD Gonzalez Calaza, D Willsch, K Michielsen Quantum Information Processing 20 (9), 305, 2021 | 21 | 2021 |

Observation of Josephson harmonics in tunnel junctions D Willsch, D Rieger, P Winkel, M Willsch, C Dickel, J Krause, Y Ando, ... Nature Physics, 1-7, 2024 | 16 | 2024 |

Supercomputer simulations of transmon quantum computers D Willsch arXiv preprint arXiv:2008.13490, 2020 | 14 | 2020 |

Unbalanced penalization: A new approach to encode inequality constraints of combinatorial problems for quantum optimization algorithms A Montanez-Barrera, D Willsch, A Maldonado-Romo, K Michielsen arXiv preprint arXiv:2211.13914, 2022 | 11 | 2022 |

Discrete-event simulation of an extended Einstein-Podolsky-Rosen-Bohm experiment H De Raedt, MS Jattana, D Willsch, M Willsch, F Jin, K Michielsen Frontiers in physics 8, 160, 2020 | 11 | 2020 |

Real-time simulation of flux qubits used for quantum annealing M Willsch, D Willsch, F Jin, H De Raedt, K Michielsen Physical Review A 101 (1), 012327, 2020 | 10 | 2020 |

Large-scale simulation of Shor’s quantum factoring algorithm D Willsch, M Willsch, F Jin, H De Raedt, K Michielsen Mathematics 11 (19), 4222, 2023 | 8 | 2023 |

Benchmarking Supercomputers with the J\" ulich Universal Quantum Computer Simulator D Willsch, H Lagemann, M Willsch, F Jin, H De Raedt, K Michielsen arXiv preprint arXiv:1912.03243, 2019 | 7 | 2019 |

Separation of conditions as a prerequisite for quantum theory H De Raedt, MI Katsnelson, D Willsch, K Michielsen Annals of physics 403, 112-135, 2019 | 7 | 2019 |