| 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 | 105* | 2022 |
| Quantum vision transformers IK El Amine Cherrat, N Mathur, J Landman, M Strahm, YY Li arXiv preprint arXiv:2209.08167, 2022 | 28* | 2022 |
| Improved financial forecasting via quantum machine learning S Thakkar, S Kazdaghli, N Mathur, I Kerenidis, AJ Ferreira–Martins, ... Quantum Machine Intelligence 6 (1), 27, 2024 | 7 | 2024 |
| Quantum Fourier networks for solving parametric PDEs N Jain, J Landman, N Mathur, I Kerenidis Quantum Science and Technology 9 (3), 035026, 2024 | 4 | 2024 |
| Training-efficient density quantum machine learning B Coyle, EA Cherrat, N Jain, N Mathur, S Raj, S Kazdaghli, I Kerenidis arXiv preprint arXiv:2405.20237, 2024 | 1 | 2024 |
| Towards a unified quantum protocol framework: Classification, implementation, and use cases S Singh, M Doosti, N Mathur, M Delavar, A Mantri, H Ollivier, E Kashefi arXiv preprint arXiv:2310.12780, 2023 | 1 | 2023 |
| Towards an Open-source Software Platform for Numerical Key Rate Calculation of General Quantum Key Distribution Protocols J Lin, I George, KH Li, K Fang, T Upadhyaya, N Mathur, M Chemtov, ... Qcrypt, 2020 | 1 | 2020 |
| Classical and quantum algorithms for orthogonal neural networks I Kerenidis, J Landman, N Mathur US Patent 11,829,877, 2023 | | 2023 |
Jonas LandmanPostdoctoral Research Associate, University of Edinburgh, Scotland, UKVerified email at irif.fr
