| A universal test for gravitational decoherence C Pfister, J Kaniewski, M Tomamichel, A Mantri, R Schmucker, ... Nature Communications 7 (1), 13022, 2016 | 50 | 2016 |
| Optimal architecture for a nondeterministic noiseless linear amplifier NA McMahon, AP Lund, TC Ralph Physical Review A 89 (2), 023846, 2014 | 45 | 2014 |
| Calderbank-Shor-Steane holographic quantum error-correcting codes RJ Harris, NA McMahon, GK Brennen, TM Stace Physical Review A 98 (5), 052301, 2018 | 43 | 2018 |
| 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 | 40 | 2022 |
| 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 | 28 | 2021 |
| Tensor-network codes T Farrelly, RJ Harris, NA McMahon, TM Stace Physical Review Letters 127 (4), 040507, 2021 | 17 | 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 | 12 | 2020 |
| 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 |
| Holographic spin networks from tensor network states S Singh, NA McMahon, GK Brennen Physical Review D 97 (2), 026013, 2018 | 9 | 2018 |
| Maximum likelihood decoder for holographic codes RJ Harris, E Coupe, NA McMahon, GK Brennen, TM Stace arXiv preprint arXiv:2008.10206, 2020 | 5 | 2020 |
| 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 | | 2023 |
| Renormalisation Through The Lens Of QCNNs N McMahon, P Zapletal, M Hartmann Bulletin of the American Physical Society, 2023 | | 2023 |
| Error-tolerant quantum convolutional neural networks for the recognition of symmetry-protected topological phases P Zapletal, N McMahon, M Hartmann Bulletin of the American Physical Society, 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 |
| Holographic Spin Networks from Tensor Network States N McMahon, S Singh, G Brennen APS March Meeting Abstracts 2018, S15. 004, 2018 | | 2018 |
