| Parametrized Quantum Policies for Reinforcement Learning S Jerbi, C Gyurik, SC Marshall, HJ Briegel, V Dunjko Thirty-Fifth Conference on Neural Information Processing Systems, 2021 | 171 | 2021 |
| Towards quantum advantage via topological data analysis C Gyurik, C Cade, V Dunjko Quantum 6, 855, 2022 | 61* | 2022 |
| Structural risk minimization for quantum linear classifiers C Gyurik, V Dunjko Quantum 7, 893, 2023 | 42 | 2023 |
| Shadows of quantum machine learning S Jerbi, C Gyurik, SC Marshall, R Molteni, V Dunjko Nature Communications 15 (1), 5676, 2024 | 40 | 2024 |
| Analyzing Prospects for Quantum Advantage in Topological Data Analysis DW Berry, Y Su, C Gyurik, R King, J Basso, ADT Barba, A Rajput, ... PRX Quantum 5, 010319, 2024 | 40 | 2024 |
| Exponential separations between classical and quantum learners C Gyurik, V Dunjko arXiv preprint arXiv:2306.16028, 2023 | 31* | 2023 |
| High dimensional quantum machine learning with small quantum computers SC Marshall, C Gyurik, V Dunjko Quantum 7, 1078, 2023 | 29* | 2023 |
| On the relation between trainability and dequantization of variational quantum learning models E Gil-Fuster, C Gyurik, A Pérez-Salinas, V Dunjko arXiv preprint arXiv:2406.07072, 2024 | 7 | 2024 |
| Exponential quantum advantages in learning quantum observables from classical data R Molteni, C Gyurik, V Dunjko arXiv preprint arXiv:2405.02027, 2024 | 7 | 2024 |
| Limitations of measure-first protocols in quantum machine learning C Gyurik, R Molteni, V Dunjko arXiv preprint arXiv:2311.12618, 2023 | 5 | 2023 |
| Quantum computing and persistence in topological data analysis C Gyurik, A Schmidhuber, R King, V Dunjko, R Hayakawa arXiv preprint arXiv:2410.21258, 2024 | 1 | 2024 |
| On Bounded Advice Classes S Marshall, C Gyurik, V Dunjko arXiv preprint arXiv:2405.18155, 2024 | 1 | 2024 |
| Testing the presence of balanced and bipartite components in a sparse graph is QMA1-hard M Incudini, C Gyurik, R Molteni, V Dunjko arXiv preprint arXiv:2412.14932, 2024 | | 2024 |
| Computational speedups and learning separations in quantum machine learning C Gyurik Leiden University, 2024 | | 2024 |
