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

Parametrized Quantum Policies for Reinforcement Learning S Jerbi, C Gyurik, SC Marshall, HJ Briegel, V Dunjko NeurIPS 2021, 2021 | 111 | 2021 |

Quantum agents in the gym: a variational quantum algorithm for deep q-learning A Skolik, S Jerbi, V Dunjko Quantum 6, 720, 2022 | 102 | 2022 |

Quantum machine learning beyond kernel methods S Jerbi, LJ Fiderer, H Poulsen Nautrup, JM Kübler, HJ Briegel, V Dunjko Nature Communications 14 (1), 517, 2023 | 92 | 2023 |

Quantum enhancements for deep reinforcement learning in large spaces S Jerbi, LM Trenkwalder, HP Nautrup, HJ Briegel, V Dunjko PRX Quantum 2 (1), 010328, 2021 | 62* | 2021 |

Photonic architecture for reinforcement learning F Flamini, A Hamann, S Jerbi, LM Trenkwalder, HP Nautrup, HJ Briegel New Journal of Physics 22 (4), 045002, 2020 | 31 | 2020 |

Operationally meaningful representations of physical systems in neural networks HP Nautrup, T Metger, R Iten, S Jerbi, LM Trenkwalder, H Wilming, ... Machine Learning: Science and Technology, 2022 | 24 | 2022 |

Near-optimal Quantum algorithms for multivariate mean estimation A Cornelissen, Y Hamoudi, S Jerbi STOC 2022, 33-43, 2022 | 15 | 2022 |

Quantum algorithms for multivariate Monte Carlo estimation A Cornelissen, S Jerbi arXiv:2107.03410, 2021 | 10 | 2021 |

Reinforcement Learning Assisted Recursive QAOA YJ Patel, S Jerbi, T Bäck, V Dunjko EPJ Quantum Technology 11 (1), 6, 2024 | 9 | 2024 |

The power and limitations of learning quantum dynamics incoherently S Jerbi, J Gibbs, MS Rudolph, MC Caro, PJ Coles, HY Huang, Z Holmes arXiv:2303.12834, 2023 | 7 | 2023 |

Shadows of quantum machine learning S Jerbi, C Gyurik, SC Marshall, R Molteni, V Dunjko arXiv:2306.00061, 2023 | 5 | 2023 |

Quantum policy gradient algorithms S Jerbi, A Cornelissen, M Ozols, V Dunjko TQC 2023, 2023 | 5 | 2023 |

Potential and limitations of random Fourier features for dequantizing quantum machine learning R Sweke, E Recio, S Jerbi, E Gil-Fuster, B Fuller, J Eisert, JJ Meyer arXiv:2309.11647, 2023 | 4 | 2023 |

Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning F Preti, M Schilling, S Jerbi, LM Trenkwalder, HP Nautrup, F Motzoi, ... arXiv:2307.05744, 2023 | 3 | 2023 |

Variational measurement-based quantum computation for generative modeling A Majumder, M Krumm, T Radkohl, HP Nautrup, S Jerbi, HJ Briegel arXiv:2310.13524, 2023 | 2 | 2023 |