| Tensorflow Quantum: A software framework for quantum machine learning M Broughton, G Verdon, T McCourt, AJ Martinez, JH Yoo, SV Isakov, ... arXiv:2003.02989, 2020 | 308 | 2020 |
| Parametrized Quantum Policies for Reinforcement Learning S Jerbi, C Gyurik, SC Marshall, HJ Briegel, V Dunjko NeurIPS 2021, 2021 | 87 | 2021 |
| Quantum agents in the gym: a variational quantum algorithm for deep q-learning A Skolik, S Jerbi, V Dunjko Quantum 6, 720, 2022 | 74 | 2022 |
| Quantum machine learning beyond kernel methods S Jerbi, LJ Fiderer, H Poulsen Nautrup, JM Kübler, HJ Briegel, V Dunjko Nature Communications 14 (1), 517, 2023 | 58 | 2023 |
| Quantum enhancements for deep reinforcement learning in large spaces S Jerbi, LM Trenkwalder, HP Nautrup, HJ Briegel, V Dunjko PRX Quantum 2 (1), 010328, 2021 | 54* | 2021 |
| Photonic architecture for reinforcement learning F Flamini, A Hamann, S Jerbi, LM Trenkwalder, HP Nautrup, HJ Briegel New Journal of Physics 22 (4), 045002, 2020 | 30 | 2020 |
| Operationally meaningful representations of physical systems in neural networks HP Nautrup, T Metger, R Iten, S Jerbi, LM Trenkwalder, H Wilming, ... Machine Learning: Science and Technology, 2022 | 19 | 2022 |
| Near-optimal Quantum algorithms for multivariate mean estimation A Cornelissen, Y Hamoudi, S Jerbi STOC 2022, 33-43, 2022 | 11 | 2022 |
| Quantum algorithms for multivariate Monte Carlo estimation A Cornelissen, S Jerbi arXiv:2107.03410, 2021 | 10 | 2021 |
| Reinforcement Learning Assisted Recursive QAOA YJ Patel, S Jerbi, T Bäck, V Dunjko arXiv:2207.06294, 2022 | 6 | 2022 |
| The power and limitations of learning quantum dynamics incoherently S Jerbi, J Gibbs, MS Rudolph, MC Caro, PJ Coles, HY Huang, Z Holmes arXiv:2303.12834, 2023 | 4 | 2023 |
| Quantum policy gradient algorithms S Jerbi, A Cornelissen, M Ozols, V Dunjko arXiv:2212.09328, 2022 | 4 | 2022 |
| Shadows of quantum machine learning S Jerbi, C Gyurik, SC Marshall, R Molteni, V Dunjko arXiv:2306.00061, 2023 | 2 | 2023 |
| Potential and limitations of random Fourier features for dequantizing quantum machine learning R Sweke, E Recio, S Jerbi, E Gil-Fuster, B Fuller, J Eisert, JJ Meyer arXiv:2309.11647, 2023 | | 2023 |
| Hybrid discrete-continuous compilation of trapped-ion quantum circuits with deep reinforcement learning F Preti, M Schilling, S Jerbi, LM Trenkwalder, HP Nautrup, F Motzoi, ... arXiv:2307.05744, 2023 | | 2023 |
