| Quenches near Ising quantum criticality as a challenge for artificial neural networks S Czischek, M Gärttner, T Gasenzer Physical Review B 98 (2), 024311, 2018 | 72 | 2018 |
| Neural-network quantum state tomography in a two-qubit experiment M Neugebauer, L Fischer, A Jäger, S Czischek, S Jochim, M Weidemüller, ... Physical Review A 102 (4), 042604, 2020 | 67 | 2020 |
| Simulating a measurement-induced phase transition for trapped-ion circuits S Czischek, G Torlai, S Ray, R Islam, RG Melko Physical Review A 104 (6), 062405, 2021 | 27 | 2021 |
| Data-enhanced variational Monte Carlo simulations for Rydberg atom arrays S Czischek, MS Moss, M Radzihovsky, E Merali, RG Melko Physical Review B 105 (20), 205108, 2022 | 20 | 2022 |
| Quenches near criticality of the quantum Ising chain—power and limitations of the discrete truncated Wigner approximation S Czischek, M Gärttner, M Oberthaler, M Kastner, T Gasenzer Quantum Science and Technology 4 (1), 014006, 2018 | 20 | 2018 |
| Miniaturizing neural networks for charge state autotuning in quantum dots S Czischek, V Yon, MA Genest, MA Roux, S Rochette, JC Lemyre, ... Machine Learning: Science and Technology 3 (1), 015001, 2021 | 15 | 2021 |
| Spiking neuromorphic chip learns entangled quantum states S Czischek, A Baumbach, S Billaudelle, B Cramer, L Kades, ... SciPost Physics 12 (1), 039, 2022 | 12 | 2022 |
| Sampling scheme for neuromorphic simulation of entangled quantum systems S Czischek, JM Pawlowski, T Gasenzer, M Gärttner Physical Review B 100 (19), 195120, 2019 | 9 | 2019 |
| Variational Monte Carlo with large patched transformers K Sprague, S Czischek Communications Physics 7 (1), 90, 2024 | 6 | 2024 |
| Neural-Network Simulation of Strongly Correlated Quantum Systems S Czischek Springer Nature, 2020 | 5 | 2020 |
| Discrete Truncated Wigner Approximation S Czischek, S Czischek Neural-Network Simulation of Strongly Correlated Quantum Systems, 85-109, 2020 | 1 | 2020 |
| Artificial Neural Networks S Czischek, S Czischek Neural-Network Simulation of Strongly Correlated Quantum Systems, 53-81, 2020 | 1 | 2020 |
| Variational quantum sensing B MacLellan, P Roztocki, S Czischek, R Melko Bulletin of the American Physical Society, 2024 | | 2024 |
| End-to-end variational quantum sensing B MacLellan, P Roztocki, S Czischek, RG Melko arXiv preprint arXiv:2403.02394, 2024 | | 2024 |
| Experimental Demonstration of Neural Adaptive Quantum Tomography for Two-Qubit States A Mansouri, R Fazili, S Czischek, JS Lundeen Laser Science, LM5F. 3, 2023 | | 2023 |
| Adaptive filtering and classification for automated tuning of quantum dots into the single electron regime M Moras, MA Roux, L Njejimana, S Czischek, V Yon, MA Tétrault, ... APS March Meeting Abstracts 2023, M74. 010, 2023 | | 2023 |
| Enhancing Variational Monte Carlo with Neural Network Quantum States S Czischek APS March Meeting Abstracts 2023, S62. 001, 2023 | | 2023 |
| Quantum many-body states: A novel neuromorphic application A Baumbach, R Klassert, S Czischek, M Gärttner, MA Petrovici Proceedings of the 2022 Annual Neuro-Inspired Computational Elements …, 2022 | | 2022 |
| Robust quantum dot charge autotuning with Bayesian Neural Networks V Yon, S Czischek, Y Beilliard, M Pioro-Ladrière, G Louis, R Melko, ... Machine Learning in Natural Sciences: from Quantum Physics to Nanoscience …, 2022 | | 2022 |
| Quantum dot charge autotuning with Bayesian Neural Networks for spin qubit applications V Yon, S Czischek, Y Beilliard, M Pioro-Ladrière, G Louis, R Melko, ... Silicon Quantum Electronic Workshop, 2022 | | 2022 |
