| Chiral topological phases from artificial neural networks R Kaubruegger, L Pastori, JC Budich Physical Review B 97 (19), 195136, 2018 | 104 | 2018 |
| Generalized transfer matrix states from artificial neural networks L Pastori, R Kaubruegger, JC Budich Physical Review B 99 (16), 165123, 2019 | 35 | 2019 |
| Characterization and Verification of Trotterized Digital Quantum Simulation Via Hamiltonian and Liouvillian Learning L Pastori, T Olsacher, C Kokail, P Zoller PRX Quantum 3 (3), 030324, 2022 | 32 | 2022 |
| Signatures of topology in quantum quench dynamics and their interrelation L Pastori, S Barbarino, JC Budich Physical Review Research 2 (3), 033259, 2020 | 25 | 2020 |
| Disentangling sources of quantum entanglement in quench dynamics L Pastori, M Heyl, JC Budich Physical Review Research 1 (1), 012007, 2019 | 16 | 2019 |
| Probing infinite many-body quantum systems with finite-size quantum simulators V Kuzmin, TV Zache, C Kokail, L Pastori, A Celi, M Baranov, P Zoller PRX Quantum 3 (2), 020304, 2022 | 8 | 2022 |
| Digital quantum simulation, learning of the Floquet Hamiltonian, and quantum chaos of the kicked top T Olsacher, L Pastori, C Kokail, LM Sieberer, P Zoller Journal of Physics A: Mathematical and Theoretical 55 (33), 334003, 2022 | 5 | 2022 |
| Tuning a climate model with machine-learning based emulators and history matching P Bonnet, L Pastori, M Schwabe, MA Giorgetta, F Iglesias-Suarez, ... EGUsphere 2024, 1-32, 2024 | 1 | 2024 |
| Opportunities and challenges of quantum computing for climate modelling M Schwabe, L Pastori, I de Vega, P Gentine, L Iapichino, V Lahtinen, ... arXiv preprint arXiv:2502.10488, 2025 | | 2025 |
| Quantum Neural Networks for Cloud Cover Parameterizations in Climate Models L Pastori, A Grundner, V Eyring, M Schwabe arXiv preprint arXiv:2502.10131, 2025 | | 2025 |
| Tuning a climate model with machine-learning based emulators and history matching (under open review) P Bonnet, L Pastori, M Schwabe, MA Giorgetta, F Iglesias-Suarez | | 2024 |
| Machine learning based PPEs of ICON-A for Processes understanding and Automated parameter tuning PHH Bonnet, F Iglesias-Suarez, L Pastori, P Gentine, V Eyring, GA Marco AGU Fall Meeting Abstracts 2023, GC12D-05, 2023 | | 2023 |
| Quantum Machine Learning for Climate Science M Schwabe, L Pastori, L Dogra, J Klamt, E Sarauer, V Eyring | | 2023 |
| Quantum machine learning-based parametrizations in Earth system models LH Dogra, L Pastori, M Schwabe, V Eyring | | 2023 |
| Quantum Computing and Quantum Machine Learning for Earth System Models L Pastori, M Schwabe, V Eyring | | 2023 |
| Entanglement and Topology in Quantum Many-Body Dynamics L Pastori | | 2021 |
Jan Carl BudichTU Dresden, GermanyAdresă de e-mail confirmată pe tu-dresden.de