| Robust data encodings for quantum classifiers R LaRose, B Coyle arXiv preprint arXiv:2003.01695, 2020 | 427 | 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 | 179 | 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 | 78 | 2021 |
| Variational inference with a quantum computer M Benedetti, B Coyle, M Fiorentini, M Lubasch, M Rosenkranz Physical Review Applied 16 (4), 044057, 2021 | 69 | 2021 |
| Graph neural network initialisation of quantum approximate optimisation N Jain, B Coyle, E Kashefi, N Kumar Quantum 6, 861, 2022 | 67 | 2022 |
| One-sided device-independent certification of unbounded random numbers B Coyle, MJ Hoban, E Kashefi arXiv preprint arXiv:1806.10565, 2018 | 31 | 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 | 19 | 2021 |
| Progress toward practical quantum cryptanalysis by variational quantum cloning B Coyle, M Doosti, E Kashefi, N Kumar Physical Review A 105 (4), 042604, 2022 | 18 | 2022 |
| A continuous variable Born machine I Čepaitė, B Coyle, E Kashefi Quantum Machine Intelligence 4 (1), 6, 2022 | 13 | 2022 |
| Deterministic tensor network classifiers L Wright, F Barratt, J Dborin, V Wimalaweera, B Coyle, AG Green arXiv preprint arXiv:2205.09768, 2022 | 12 | 2022 |
| Machine learning applications for noisy intermediate-scale quantum computers B Coyle arXiv preprint arXiv:2205.09414, 2022 | 12 | 2022 |
| Training-efficient density quantum machine learning B Coyle, S Raj, N Mathur, EA Cherrat, N Jain, S Kazdaghli, I Kerenidis npj Quantum Information 11 (1), 172, 2025 | 11 | 2025 |
| Variational quantum cloning: Improving practicality for quantum cryptanalysis B Coyle, M Doosti, E Kashefi, N Kumar arXiv preprint arXiv:2012.11424, 2020 | 8 | 2020 |
| Hyper compressed fine-tuning of large foundation models with quantum inspired adapters S Raj, B Coyle arXiv preprint arXiv:2502.06916, 2025 | 4 | 2025 |
| Certified randomness from steering using sequential measurements B Coyle, E Kashefi, MJ Hoban Cryptography 3 (4), 27, 2019 | 4 | 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 | 3 | 2022 |
| The Born Ultimatum: Conditions for Classical Surrogation of Quantum Generative Models with Correlators M Herrero-Gonzalez, B Coyle, K McDowall, R Grassie, S Beentjes, ... arXiv preprint arXiv:2511.01845, 2025 | 1 | 2025 |
| Probably approximately correct quantum source coding A Angrisani, B Coyle, E Kashefi arXiv preprint arXiv:2112.06841, 2021 | 1 | 2021 |
| Bayesian Quantum Orthogonal Neural Networks for Anomaly Detection N Mathur, B Coyle, N Jain, S Raj, A Tandon, JS Krauser, R Stoessel arXiv preprint arXiv:2504.18103, 2025 | | 2025 |
Elham KashefiNQCC, CNRS (LIP6) and University of Edinburgh (Informatics)Verified email at inf.ed.ac.uk
