| Application of quantum annealing to training of deep neural networks SH Adachi, MP Henderson arXiv preprint arXiv:1510.06356, 2015 | 301 | 2015 |
| Quanvolutional neural networks: powering image recognition with quantum circuits M Henderson, S Shakya, S Pradhan, T Cook Quantum Machine Intelligence 2 (1), 2, 2020 | 276 | 2020 |
| Quantum-assisted training of neural networks SH Adachi, DM Davenport, MP Henderson US Patent 10,417,553, 2019 | 93 | 2019 |
| 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 | 51 | 2021 |
| Leveraging quantum annealing for election forecasting M Henderson, J Novak, T Cook Journal of the Physical Society of Japan 88 (6), 061009, 2019 | 31 | 2019 |
| Methods for accelerating geospatial data processing using quantum computers M Henderson, J Gallina, M Brett Quantum Machine Intelligence 3 (1), 4, 2021 | 28 | 2021 |
| Optimizing the optimizer: decomposition techniques for quantum annealing G Bass, M Henderson, J Heath, J Dulny III Quantum Machine Intelligence 3 (1), 10, 2021 | 12 | 2021 |
| A computational model for the loss of neuronal organization in microcolumns M Henderson, B Urbanc, L Cruz Biophysical journal 106 (10), 2233-2242, 2014 | 7 | 2014 |
| Synthetic weather radar using hybrid quantum-classical machine learning GR Enos, MJ Reagor, MP Henderson, C Young, K Horton, M Birch, ... arXiv preprint arXiv:2111.15605, 2021 | 4 | 2021 |
| Laws, and: Dream feed, and: Grit M Henderson North Dakota Quarterly 90 (3), 120-123, 2023 | | 2023 |
| Beyond Ans\" atze: Learning Quantum Circuits as Unitary Operators B Máté, BL Saux, M Henderson arXiv preprint arXiv:2203.00601, 2022 | | 2022 |
