Realizing quantum convolutional neural networks on a superconducting quantum processor to recognize quantum phases J Herrmann, SM Llima, A Remm, P Zapletal, NA McMahon, C Scarato, ... Nature communications 13 (1), 4144, 2022 | 50 | 2022 |

A universal test for gravitational decoherence C Pfister, J Kaniewski, M Tomamichel, A Mantri, R Schmucker, ... Nature Communications 7 (1), 13022, 2016 | 49 | 2016 |

Optimal architecture for a nondeterministic noiseless linear amplifier NA McMahon, AP Lund, TC Ralph Physical Review A 89 (2), 023846, 2014 | 48 | 2014 |

Calderbank-Shor-Steane holographic quantum error-correcting codes RJ Harris, NA McMahon, GK Brennen, TM Stace Physical Review A 98 (5), 052301, 2018 | 45 | 2018 |

A resource theory of quantum measurements T Guff, NA McMahon, YR Sanders, A Gilchrist Journal of Physics A: Mathematical and Theoretical 54 (22), 225301, 2021 | 27 | 2021 |

Tensor-network codes T Farrelly, RJ Harris, NA McMahon, TM Stace Physical Review Letters 127 (4), 040507, 2021 | 20 | 2021 |

Decoding holographic codes with an integer optimization decoder RJ Harris, E Coupe, NA McMahon, GK Brennen, TM Stace Physical Review A 102 (6), 062417, 2020 | 13 | 2020 |

Holographic spin networks from tensor network states S Singh, NA McMahon, GK Brennen Physical Review D 97 (2), 026013, 2018 | 12 | 2018 |

Parallel decoding of multiple logical qubits in tensor-network codes T Farrelly, N Milicevic, RJ Harris, NA McMahon, TM Stace Physical Review A 105 (5), 052446, 2022 | 9 | 2022 |

Maximum likelihood decoder for holographic codes RJ Harris, E Coupe, NA McMahon, GK Brennen, TM Stace arXiv preprint arXiv:2008.10206, 2020 | 5 | 2020 |

Understanding nature from experimental observations: a theory independent test for gravitational decoherence C Pfister, J Kaniewski, M Tomamichel, A Mantri, R Schmucker, ... arXiv preprint arXiv:1503.00577, 2015 | 4 | 2015 |

A holographic duality from lifted tensor networks NA McMahon, S Singh, GK Brennen npj Quantum Information 6 (1), 36, 2020 | 3 | 2020 |

Entanglement renormalization and symmetry fractionalization S Singh, NA McMahon, GK Brennen Physical Review B 99 (19), 195139, 2019 | 3 | 2019 |

Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases P Zapletal, NA McMahon, MJ Hartmann arXiv preprint arXiv:2307.03711, 2023 | 1 | 2023 |

Renormalisation Through The Lens Of QCNNs N McMahon, P Zapletal, M Hartmann APS March Meeting Abstracts 2023, AAA05. 006, 2023 | | 2023 |

Error-tolerant quantum convolutional neural networks for the recognition of symmetry-protected topological phases P Zapletal, N McMahon, M Hartmann APS March Meeting Abstracts 2023, Y70. 014, 2023 | | 2023 |

Shortening Quantum Convolutional Neural Networks to Constant Depth N McMahon, P Zapletal, M Hartmann APS March Meeting Abstracts 2022, T37. 011, 2022 | | 2022 |

Operational Natural Gradients For Variational Quantum Algorithms N McMahon APS March Meeting Abstracts 2021, S32. 005, 2021 | | 2021 |

Quantum State Discrimination as Bayesian Experimental Design T Guff, YR Sanders, NA McMahon, A Gilchrist arXiv preprint arXiv:1906.09737, 2019 | | 2019 |

A constructive bulk-boundary correspondence using multi-scale symmetric tensor networks N McMahon | | 2018 |