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Nathan A. McMahon
Nathan A. McMahon
Verified email at uqconnect.edu.au
Title
Cited by
Cited by
Year
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
652022
Calderbank-Shor-Steane holographic quantum error-correcting codes
RJ Harris, NA McMahon, GK Brennen, TM Stace
Physical Review A 98 (5), 052301, 2018
512018
A universal test for gravitational decoherence
C Pfister, J Kaniewski, M Tomamichel, A Mantri, R Schmucker, ...
Nature Communications 7 (1), 13022, 2016
502016
Optimal architecture for a nondeterministic noiseless linear amplifier
NA McMahon, AP Lund, TC Ralph
Physical Review A 89 (2), 023846, 2014
482014
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
302021
Tensor-network codes
T Farrelly, RJ Harris, NA McMahon, TM Stace
Physical Review Letters 127 (4), 040507, 2021
222021
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
162020
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
122022
Holographic spin networks from tensor network states
S Singh, NA McMahon, GK Brennen
Physical Review D 97 (2), 026013, 2018
122018
Maximum likelihood decoder for holographic codes
RJ Harris, E Coupe, NA McMahon, GK Brennen, TM Stace
arXiv preprint arXiv:2008.10206, 2020
52020
A holographic duality from lifted tensor networks
NA McMahon, S Singh, GK Brennen
npj Quantum Information 6 (1), 36, 2020
42020
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
42015
Entanglement renormalization and symmetry fractionalization
S Singh, NA McMahon, GK Brennen
Physical Review B 99 (19), 195139, 2019
32019
Error-tolerant quantum convolutional neural networks for symmetry-protected topological phases
P Zapletal, NA McMahon, MJ Hartmann
arXiv preprint arXiv:2307.03711, 2023
22023
Quantum Convolutional Neural Network for Phase Recognition in Two Dimensions
LC Sander, NA McMahon, P Zapletal, MJ Hartmann
arXiv preprint arXiv:2407.04114, 2024
2024
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
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