| Quantum Computing: An Applied Approach J Hidary | 308 | 2019 |
| Transitioning organizations to post-quantum cryptography D Joseph, R Misoczki, M Manzano, J Tricot, FD Pinuaga, O Lacombe, ... Nature 605 (7909), 237-243, 2022 | 145 | 2022 |
| Theory of deep learning III: explaining the non-overfitting puzzle T Poggio, K Kawaguchi, Q Liao, B Miranda, L Rosasco, X Boix, J Hidary, ... arXiv preprint arXiv:1801.00173, 2017 | 136 | 2017 |
| Tensornetwork: A library for physics and machine learning C Roberts, A Milsted, M Ganahl, A Zalcman, B Fontaine, Y Zou, J Hidary, ... arXiv preprint arXiv:1905.01330, 2019 | 129 | 2019 |
| Quantum graph neural networks G Verdon, T McCourt, E Luzhnica, V Singh, S Leichenauer, J Hidary arXiv preprint arXiv:1909.12264, 2019 | 113 | 2019 |
| Quantum Hamiltonian-based models and the variational quantum thermalizer algorithm G Verdon, J Marks, S Nanda, S Leichenauer, J Hidary arXiv preprint arXiv:1910.02071, 2019 | 96 | 2019 |
| Tensornetwork for machine learning S Efthymiou, J Hidary, S Leichenauer arXiv preprint arXiv:1906.06329, 2019 | 87 | 2019 |
| Morbidity and mortality from COVID-19 post-vaccination breakthrough infections in association with vaccines and the emergence of variants in Bahrain MAQSBAAHAMJASJJWMESJHS Mukherjee | 39* | 2021 |
| A surprising linear relationship predicts test performance in deep networks Q Liao, B Miranda, A Banburski, J Hidary, T Poggio arXiv preprint arXiv:1807.09659, 2018 | 35 | 2018 |
| Theory IIIb: Generalization in deep networks T Poggio, Q Liao, B Miranda, A Banburski, X Boix, J Hidary arXiv preprint arXiv:1806.11379, 2018 | 33 | 2018 |
| Theory of deep learning iii: the non-overfitting puzzle T Poggio, K Kawaguchi, Q Liao, B Miranda, L Rosasco, X Boix, J Hidary, ... CBMM Memo 73 (1-38), 2, 2018 | 30 | 2018 |
| TensorNetwork on TensorFlow: A spin chain application using tree tensor networks A Milsted, M Ganahl, S Leichenauer, J Hidary, G Vidal arXiv preprint arXiv:1905.01331, 2019 | 24 | 2019 |
| Quantum hamiltonian-based models and the variational quantum thermalizer algorithm (2019) G Verdon, J Marks, S Nanda, S Leichenauer, J Hidary arXiv preprint arXiv:1910.02071 25, 1910 | 21 | 1910 |
| Post-vaccination outcomes in association with four COVID-19 vaccines in the Kingdom of Bahrain M AlQahtani, X Du, S Bhattacharyya, A Alawadi, H Al Mahmeed, ... Scientific reports 12 (1), 9236, 2022 | 19 | 2022 |
| A brief history of quantum computing JD Hidary, JD Hidary Quantum Computing: An Applied Approach, 15-21, 2021 | 18 | 2021 |
| Theory III: Dynamics and generalization in deep networks A Banburski, Q Liao, B Miranda, L Rosasco, F De La Torre, J Hidary, ... arXiv preprint arXiv:1903.04991, 2019 | 14 | 2019 |
| Theory of deep learning III: Dynamics and generalization in deep networks A Banburski, Q Liao, B Miranda, T Poggio, L Rosasco, J Hidary, ... Center for Brains, Minds and Machines (CBMM) Memo No 90, 2019 | 14 | 2019 |
| Crispr2vec: machine learning model predicts off-target cuts of crispr systems TB Trivedi, R Boger, GM Kamath, G Evangelopoulos, J Cate, J Doudna, ... BioRxiv, 2020.10. 28.359885, 2020 | 6 | 2020 |
| Dirac notation JD Hidary, JD Hidary Quantum Computing: An Applied Approach, 377-381, 2021 | 4 | 2021 |
| Complexity theory JD Hidary, JD Hidary Quantum computing: an applied approach, 43-50, 2021 | 4 | 2021 |
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