Robust data encodings for quantum classifiers R LaRose, B Coyle Physical Review A 102 (3), 032420, 2020 | 286 | 2020 |
The Born supremacy: quantum advantage and training of an Ising Born machine B Coyle, D Mills, V Danos, E Kashefi npj Quantum Information 6 (1), 60, 2020 | 129 | 2020 |
Quantum versus classical generative modelling in finance B Coyle, M Henderson, JCJ Le, N Kumar, M Paini, E Kashefi Quantum Science and Technology 6 (2), 024013, 2021 | 59 | 2021 |
Variational inference with a quantum computer M Benedetti, B Coyle, M Fiorentini, M Lubasch, M Rosenkranz Physical Review Applied 16 (4), 044057, 2021 | 45 | 2021 |
Graph neural network initialisation of quantum approximate optimisation N Jain, B Coyle, E Kashefi, N Kumar Quantum 6, 861, 2022 | 41 | 2022 |
One-sided device-independent certification of unbounded random numbers B Coyle, MJ Hoban, E Kashefi arXiv preprint arXiv:1806.10565, 2018 | 26 | 2018 |
F-divergences and cost function locality in generative modelling with quantum circuits C Leadbeater, L Sharrock, B Coyle, M Benedetti Entropy 23 (10), 1281, 2021 | 11 | 2021 |
A continuous variable Born machine I Čepaitė, B Coyle, E Kashefi Quantum Machine Intelligence 4 (1), 6, 2022 | 9 | 2022 |
Progress toward practical quantum cryptanalysis by variational quantum cloning B Coyle, M Doosti, E Kashefi, N Kumar Physical Review A 105 (4), 042604, 2022 | 9 | 2022 |
Variational quantum cloning: Improving practicality for quantum cryptanalysis B Coyle, M Doosti, E Kashefi, N Kumar arXiv preprint arXiv:2012.11424, 2020 | 7 | 2020 |
Deterministic tensor network classifiers L Wright, F Barratt, J Dborin, V Wimalaweera, B Coyle, AG Green arXiv preprint arXiv:2205.09768, 2022 | 5 | 2022 |
Machine learning applications for noisy intermediate-scale quantum computers B Coyle arXiv preprint arXiv:2205.09414, 2022 | 5 | 2022 |
Certified randomness from steering using sequential measurements B Coyle, E Kashefi, MJ Hoban Cryptography 3 (4), 27, 2019 | 3 | 2019 |
Computer system and method for utilizing variational inference M Benedetti, BJ Coyle, M Fiorentini, M Lubasch, M Rosenkranz US Patent App. 17/654,225, 2022 | 2 | 2022 |
Training-efficient density quantum machine learning B Coyle, EA Cherrat, N Jain, N Mathur, S Raj, S Kazdaghli, I Kerenidis arXiv preprint arXiv:2405.20237, 2024 | 1 | 2024 |
Probably approximately correct quantum source coding A Angrisani, B Coyle, E Kashefi arXiv preprint arXiv:2112.06841, 2021 | 1 | 2021 |