- B. MacLellan, P. Roztocki, S. Czischek, and R. G. Melko End-to-end variational quantum sensing arXiv:2403.02394 [quant-ph] (2024)
- K. Sprague and S. Czischek Variational Monte Carlo with Large Patched Transformers Commun. Phys. 7, 90 (2024)
Prior to uOttawa
- S. Czischek, M. S. Moss, M. Radzihovsky, E. Merali, and R. G. Melko Data-enhanced variational Monte Carlo simulations for Rydberg atom arrays Phys. Rev. B 105, 205108 (2022)
- S. Czischek, M. Oberthaler, M. A. Petrovici, T. Gasenzer, M. Gärttner, et al. Spiking neuromorphic chip learns entangled quantum states SciPost Phys. 12, 039 (2022)
- S. Czischek, G. Torlai, S. Ray, R. Islam, and R. G. Melko Simulating a measurement-induced phase transition for trapped-ion circuits Phys. Rev. A 104, 062405 (2021)
- S. Czischek, M. Pioro-Ladrière, D. Drouin, R. G. Melko, et al. Miniaturizing neural networks for charge state autotuning in quantum dots Mach. Learn.: Sci. Technol. 3, 015001 (2021)
- M. Neugebauer, L. Fischer, A. Jäger, S. Czischek, S. Jochim, M. Weidemüller, and M. Gärttner Neural-network quantum state tomography in a two-qubit experiment Phys. Rev. A 102, 042604 (2020)
- S. Czischek Neural-Network Simulation of Strongly Correlated Quantum Systems Springer Theses, Springer Nature (2020)
- S. Czischek, J. M. Pawlowski, T. Gasenzer, and M. Gärttner Sampling scheme for neuromorphic simulation of entangled quantum systems Phys. Rev. B 100 195120 (2019)
- S. Czischek, M. Gärttner, M. Oberthaler, M. Kastner, T. Gasenzer Quenches near criticality of the quantum Ising chain—power and limitations of the discrete truncated Wigner approximation Quantum Sci. Technol. 4, 014006 (2019)
- S. Czischek, M. Gärttner, T. Gasenzer Quenches near Ising quantum criticality as a challenge for artificial neural networks Phys. Rev. B 98, 024311 (2018)
