Multiparameter Gaussian quantum metrology R Nichols, P Liuzzo-Scorpo, PA Knott, G Adesso Physical Review A 98 (1), 012114, 2018 | 112 | 2018 |

Gaussian quantum resource theories L Lami, B Regula, X Wang, R Nichols, A Winter, G Adesso Physical Review A 98 (2), 022335, 2018 | 96 | 2018 |

A hybrid machine learning algorithm for designing quantum experiments L O’Driscoll, R Nichols, PA Knott Quantum Machine Intelligence 1, 5-15, 2019 | 65 | 2019 |

Preventing and reversing vacuum-induced optical losses in high-finesse tantalum (V) oxide mirror coatings D Gangloff, M Shi, T Wu, A Bylinskii, B Braverman, M Gutierrez, R Nichols, ... Optics express 23 (14), 18014-18028, 2015 | 51 | 2015 |

Designing quantum experiments with a genetic algorithm R Nichols, L Mineh, J Rubio, JCF Matthews, PA Knott Quantum Science and Technology 4 (4), 045012, 2019 | 49 | 2019 |

Practical quantum metrology in noisy environments R Nichols, TR Bromley, LA Correa, G Adesso Physical Review A 94 (4), 042101, 2016 | 37 | 2016 |

Estimating phase with a random generator: Strategies and resources in multiparameter quantum metrology R Yousefjani, R Nichols, S Salimi, G Adesso Physical Review A 95 (6), 062307, 2017 | 23 | 2017 |

Noisy frequency estimation with noisy probes A Górecka, FA Pollock, P Liuzzo-Scorpo, R Nichols, G Adesso, K Modi New Journal of Physics 20 (8), 083008, 2018 | 12 | 2018 |

A hybrid machine learning algorithm for designing quantum experiments R Nichols, PA Knott Quantum Machine Intelligence 1 (1-2), 2019 | | 2019 |

Towards practical quantum metrology R Nichols University of Nottingham, 2019 | | 2019 |