| The Adjoint Is All You Need: Characterizing Barren Plateaus in Quantum Ansätze E Fontana, D Herman, S Chakrabarti, N Kumar, R Yalovetzky, J Heredge, ... arXiv preprint arXiv:2309.07902, 2023 | 43 | 2023 |
| Quantum support vector machines for continuum suppression in B meson decays J Heredge, C Hill, L Hollenberg, M Sevior Computing and Software for Big Science 5 (1), 27, 2021 | 38 | 2021 |
| Provably trainable rotationally equivariant quantum machine learning MT West, J Heredge, M Sevior, M Usman arXiv preprint arXiv:2311.05873, 2023 | 11 | 2023 |
| Permutation invariant encodings for quantum machine learning with point cloud data J Heredge, C Hill, L Hollenberg, M Sevior Quantum Machine Intelligence 6 (1), 1-14, 2024 | 6 | 2024 |
| Expressive variational quantum circuits provide inherent privacy in federated learning N Kumar, J Heredge, C Li, S Eloul, SH Sureshbabu, M Pistoia arXiv preprint arXiv:2309.13002, 2023 | 6 | 2023 |
| Drastic circuit depth reductions with preserved adversarial robustness by approximate encoding for quantum machine learning MT West, AC Nakhl, J Heredge, FM Creevey, LCL Hollenberg, M Sevior, ... arXiv preprint arXiv:2309.09424, 2023 | 4 | 2023 |
| Muon event localisation with AI J Heredge, JW Archer, AR Duffy, JMC Brown, S Guatelli, F Scutti, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2021 | 2 | 2021 |
| Non-Unitary Quantum Machine Learning J Heredge, M West, L Hollenberg, M Sevior arXiv preprint arXiv:2405.17388, 2024 | 1 | 2024 |
| Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms FM Creevey, JA Heredge, ME Sevior, LCL Hollenberg arXiv preprint arXiv:2312.01562, 2023 | 1 | 2023 |
| Prospects of Privacy Advantage in Quantum Machine Learning J Heredge, N Kumar, D Herman, S Chakrabarti, R Yalovetzky, ... arXiv preprint arXiv:2405.08801, 2024 | | 2024 |
