| q-means: A quantum algorithm for unsupervised machine learning I Kerenidis, J Landman, A Luongo, A Prakash Advances in Neural Information Processing Systems 32, 2018 | 233 | 2018 |
| Quantum Algorithms for Deep Convolutional Neural Networks I Kerenidis, J Landman, A Prakash Proceedings of the International Conference on Learning Representations …, 2019 | 170 | 2019 |
| Quantum Methods for Neural Networks and Application to Medical Image Classification J Landman, N Mathur, YY Li, M Strahm, S Kazdaghli, A Prakash, ... Quantum 6, 881, 2022 | 119* | 2022 |
| Quantum spectral clustering I Kerenidis, J Landman Physical Review A 103 (4), 042415, 2021 | 63 | 2021 |
| Quantum vision transformers EA Cherrat, I Kerenidis, N Mathur, J Landman, M Strahm, YY Li Quantum 8 (arXiv: 2209.08167), 1265, 2024 | 41* | 2024 |
| Classically Approximating Variational Quantum Machine Learning with Random Fourier Features J Landman, S Thabet, C Dalyac, H Mhiri, E Kashefi International Conference on Learning Representations (ICLR 2023), 2022 | 34 | 2022 |
| Trainability and expressivity of hamming-weight preserving quantum circuits for machine learning L Monbroussou, EZ Mamon, J Landman, AB Grilo, R Kukla, E Kashefi arXiv preprint arXiv:2309.15547, 2023 | 19 | 2023 |
| Quantum algorithms for unsupervised machine learning and neural networks J Landman arXiv preprint arXiv:2111.03598, 2021 | 9 | 2021 |
| Classical and quantum algorithms for orthogonal neural networks. 2021 I Kerenidis, J Landman, N Mathur arXiv preprint arXiv:2106.07198, 0 | 9 | |
| Quantum bayesian neural networks N Berner, V Fortuin, J Landman arXiv preprint arXiv:2107.09599, 2021 | 8 | 2021 |
| Quantum Fourier networks for solving parametric PDEs N Jain, J Landman, N Mathur, I Kerenidis Quantum Science and Technology 9 (3), 035026, 2024 | 6 | 2024 |
| q-means: A quantum algorithm for unsupervised machine learning. arXiv 2018 I Kerenidis, J Landman, A Luongo, A Prakash arXiv preprint arXiv:1812.03584, 1812 | 6 | 1812 |
| Constrained and Vanishing Expressivity of Quantum Fourier Models H Mhiri, L Monbroussou, M Herrero-Gonzalez, S Thabet, E Kashefi, ... arXiv preprint arXiv:2403.09417, 2024 | 5 | 2024 |
| Training Classical and Quantum Algorithms for Orthogonal Neural Networks I Kerenidis, J Landman, N Mathur US Patent App. 17/825,803, 2022 | 1 | 2022 |
| When Quantum and Classical Models Disagree: Learning Beyond Minimum Norm Least Square S Thabet, L Monbroussou, EZ Mamon, J Landman arXiv preprint arXiv:2411.04940, 2024 | | 2024 |
| Subspace Preserving Quantum Convolutional Neural Network Architectures L Monbroussou, J Landman, L Wang, AB Grilo, E Kashefi arXiv preprint arXiv:2409.18918, 2024 | | 2024 |
| Classical and quantum algorithms for orthogonal neural networks I Kerenidis, J Landman, N Mathur US Patent 11,829,877, 2023 | | 2023 |
