| Quantum variational algorithms are swamped with traps ER Anschuetz, BT Kiani Nature Communications 13 (1), 7760, 2022 | 149 | 2022 |
| Quantum algorithm for nonlinear differential equations S Lloyd, G De Palma, C Gokler, B Kiani, ZW Liu, M Marvian, F Tennie, ... arXiv preprint arXiv:2011.06571, 2020 | 98 | 2020 |
| Random deep neural networks are biased towards simple functions G De Palma, B Kiani, S Lloyd Advances in Neural Information Processing Systems 32, 2019 | 64* | 2019 |
| Learning unitaries by gradient descent BT Kiani, S Lloyd, R Maity arXiv preprint arXiv:2001.11897, 2020 | 50 | 2020 |
| Learning quantum data with the quantum earth mover’s distance BT Kiani, G De Palma, M Marvian, ZW Liu, S Lloyd Quantum Science and Technology 7 (4), 045002, 2022 | 42* | 2022 |
| Quantum Medical Imaging Algorithms B Toussi Kiani, A Villanyi, S Lloyd arXiv, arXiv: 2004.02036, 2020 | 29* | 2020 |
| On the wave and current interaction with a rippled seabed in the coastal ocean bottom boundary layer AR Nayak, C Li, BT Kiani, J Katz Journal of Geophysical Research: Oceans 120 (7), 4595-4624, 2015 | 23 | 2015 |
| The ssl interplay: Augmentations, inductive bias, and generalization V Cabannes, B Kiani, R Balestriero, Y LeCun, A Bietti International Conference on Machine Learning, 3252-3298, 2023 | 22 | 2023 |
| Quantum advantage for differential equation analysis BT Kiani, G De Palma, D Englund, W Kaminsky, M Marvian, S Lloyd Physical Review A 105 (2), 022415, 2022 | 22 | 2022 |
| Equivariant polynomials for graph neural networks O Puny, D Lim, B Kiani, H Maron, Y Lipman International Conference on Machine Learning, 28191-28222, 2023 | 19 | 2023 |
| projUNN: efficient method for training deep networks with unitary matrices B Kiani, R Balestriero, Y LeCun, S Lloyd Advances in Neural Information Processing Systems 35, 14448-14463, 2022 | 17 | 2022 |
| Implicit bias of linear equivariant networks H Lawrence, K Georgiev, A Dienes, BT Kiani arXiv preprint arXiv:2110.06084, 2021 | 16 | 2021 |
| Efficient classical algorithms for simulating symmetric quantum systems ER Anschuetz, A Bauer, BT Kiani, S Lloyd Quantum 7, 1189, 2023 | 14 | 2023 |
| Block-encoding dense and full-rank kernels using hierarchical matrices: applications in quantum numerical linear algebra QT Nguyen, BT Kiani, S Lloyd Quantum 6, 876, 2022 | 13 | 2022 |
| Quantum algorithms for group convolution, cross-correlation, and equivariant transformations G Castelazo, QT Nguyen, G De Palma, D Englund, S Lloyd, BT Kiani Physical Review A 106 (3), 032402, 2022 | 12 | 2022 |
| Hamiltonian singular value transformation and inverse block encoding S Lloyd, BT Kiani, DRM Arvidsson-Shukur, S Bosch, G De Palma, ... arXiv preprint arXiv:2104.01410, 2021 | 11 | 2021 |
| Quantum polar decomposition algorithm S Lloyd, S Bosch, G De Palma, B Kiani, ZW Liu, M Marvian, P Rebentrost, ... arXiv preprint arXiv:2006.00841, 2020 | 10 | 2020 |
| Joint embedding self-supervised learning in the kernel regime BT Kiani, R Balestriero, Y Chen, S Lloyd, Y LeCun arXiv preprint arXiv:2209.14884, 2022 | 9 | 2022 |
| Adversarial robustness guarantees for random deep neural networks G De Palma, B Kiani, S Lloyd International Conference on Machine Learning, 2522-2534, 2021 | 7 | 2021 |
| Learning unitaries by gradient descent, 2020 BT Kiani, S Lloyd, R Maity URL https://arxiv. org/abs/2001 11897, 2001 | 7 | 2001 |
