| Exploring phase space with neural importance sampling E Bothmann, T Janßen, M Knobbe, T Schmale, S Schumann SciPost Physics 8 (4), 069, 2020 | 108 | 2020 |
| Efficient quantum state tomography with convolutional neural networks T Schmale, M Reh, M Gärttner npj Quantum Information 8 (1), 115, 2022 | 40 | 2022 |
| Backend compiler phases for trapped-ion quantum computers T Schmale, B Temesi, A Baishya, N Pulido-Mateo, L Krinner, T Dubielzig, ... 2022 IEEE International Conference on Quantum Software (QSW), 32-37, 2022 | 11 | 2022 |
| Real-time hybrid quantum-classical computations for trapped ions with Python control-flow T Schmale, B Temesi, N Trittschanke, N Pulido-Mateo, I Elenskiy, ... 2023 IEEE International Conference on Quantum Software (QSW), 193-199, 2023 | 1 | 2023 |
| Stabilizing quantum simulations of lattice gauge theories by dissipation T Schmale, H Weimer Physical Review Research 6 (3), 033306, 2024 | | 2024 |
| Applying Neural Importance Sampling to gluon scattering E Bothmann, T Janßen, M Knobbe, T Schmale, S Schumann Large Hadron Collider Physics, 56, 2020 | | 2020 |
