Quantum machine learning J Biamonte, P Wittek, N Pancotti, P Rebentrost, N Wiebe, S Lloyd Nature 549 (7671), 195-202, 2017 | 3702 | 2017 |

Quantum support vector machine for big data classification P Rebentrost, M Mohseni, S Lloyd Physical review letters 113 (13), 130503, 2014 | 1831 | 2014 |

Environment-assisted quantum walks in photosynthetic energy transfer M Mohseni, P Rebentrost, S Lloyd, A Aspuru-Guzik The Journal of chemical physics 129 (17), 2008 | 1419 | 2008 |

Quantum principal component analysis S Lloyd, M Mohseni, P Rebentrost Nature Physics 10 (9), 631-633, 2014 | 1341 | 2014 |

Environment-assisted quantum transport P Rebentrost, M Mohseni, I Kassal, S Lloyd, A Aspuru-Guzik New Journal of Physics 11 (3), 033003, 2009 | 1028 | 2009 |

Quantum algorithms for supervised and unsupervised machine learning S Lloyd, M Mohseni, P Rebentrost arXiv preprint arXiv:1307.0411, 2013 | 848 | 2013 |

Simple pulses for elimination of leakage in weakly nonlinear qubits F Motzoi, JM Gambetta, P Rebentrost, FK Wilhelm Physical review letters 103 (11), 110501, 2009 | 787 | 2009 |

Role of quantum coherence and environmental fluctuations in chromophoric energy transport P Rebentrost, M Mohseni, A Aspuru-Guzik The Journal of Physical Chemistry B 113 (29), 9942-9947, 2009 | 415 | 2009 |

Quantum computational finance: Monte Carlo pricing of financial derivatives P Rebentrost, B Gupt, TR Bromley Physical Review A 98 (2), 022321, 2018 | 278 | 2018 |

Atomistic study of the long-lived quantum coherences in the Fenna-Matthews-Olson complex S Shim, P Rebentrost, S Valleau, A Aspuru-Guzik Biophysical journal 102 (3), 649-660, 2012 | 260 | 2012 |

Quantum Hopfield neural network P Rebentrost, TR Bromley, C Weedbrook, S Lloyd Physical Review A 98 (4), 042308, 2018 | 183 | 2018 |

Optimal control of a qubit coupled to a non-Markovian environment P Rebentrost, I Serban, T Schulte-Herbrüggen, FK Wilhelm Physical review letters 102 (9), 090401, 2009 | 181 | 2009 |

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 | 162 | 2019 |

Near-term quantum algorithms for linear systems of equations HY Huang, K Bharti, P Rebentrost arXiv preprint arXiv:1909.07344, 2019 | 161* | 2019 |

Non-Markovian quantum jumps in excitonic energy transfer P Rebentrost, R Chakraborty, A Aspuru-Guzik The Journal of chemical physics 131 (18), 2009 | 159 | 2009 |

Quantum singular-value decomposition of nonsparse low-rank matrices P Rebentrost, A Steffens, I Marvian, S Lloyd Physical review A 97 (1), 012327, 2018 | 154 | 2018 |

Modified scaled hierarchical equation of motion approach for the study of quantum coherence in photosynthetic complexes J Zhu, S Kais, P Rebentrost, A Aspuru-Guzik The Journal of Physical Chemistry B 115 (6), 1531-1537, 2011 | 153 | 2011 |

Room-temperature micron-scale exciton migration in a stabilized emissive molecular aggregate JR Caram, S Doria, DM Eisele, FS Freyria, TS Sinclair, P Rebentrost, ... Nano letters 16 (11), 6808-6815, 2016 | 133 | 2016 |

Communication: Exciton–phonon information flow in the energy transfer process of photosynthetic complexes P Rebentrost, A Aspuru-Guzik The Journal of Chemical Physics 134 (10), 2011 | 130 | 2011 |

Robust excitons inhabit soft supramolecular nanotubes DM Eisele, DH Arias, X Fu, EA Bloemsma, CP Steiner, RA Jensen, ... Proceedings of the National Academy of Sciences 111 (33), E3367-E3375, 2014 | 128 | 2014 |