| Unsupervised detection of decoupled subspaces: Many-body scars and beyond T Szołdra, P Sierant, M Lewenstein, J Zakrzewski Physical Review B 105 (22), 224205, 2022 | 22 | 2022 |
| Detecting ergodic bubbles at the crossover to many-body localization using neural networks T Szołdra, P Sierant, K Kottmann, M Lewenstein, J Zakrzewski Physical Review B 104 (14), L140202, 2021 | 18 | 2021 |
| Catching thermal avalanches in the disordered XXZ model T Szołdra, P Sierant, M Lewenstein, J Zakrzewski Physical Review B 109 (13), 134202, 2024 | 11 | 2024 |
| Determination of Chern numbers with a phase-retrieval algorithm T Szołdra, K Sacha, A Kosior Physical Review A 99 (4), 043611, 2019 | 4 | 2019 |
| Tracking locality in the time evolution of disordered systems T Szołdra, P Sierant, M Lewenstein, J Zakrzewski Physical Review B 107 (5), 054204, 2023 | 3 | 2023 |
| Ergodicity breaking in quantum systems: from exact time evolution to machine learning T Szołdra | | 2024 |
| Fidelity and Overlap of Neural Quantum States: Error Bounds on the Monte Carlo Estimator T Szołdra arXiv preprint arXiv:2311.14820, 2023 | | 2023 |
| Femtosecond pulse parameter estimation from photoelectron momenta using machine learning T Szołdra, MF Ciappina, N Werby, PH Bucksbaum, M Lewenstein, ... New Journal of Physics 25 (8), 083039, 2023 | | 2023 |
| Lokalizacja Andersona w wymiarze czasowym T Szołdra | | 2020 |
| Retrieval of Chern numbers from experimental data T Szołdra | | 2020 |
