Eliška Greplová

Automated Tuning of Double Quantum Dots into Specific Charge States Using Neural Networks

R. Durrer, Benedikt Kratochwil, Jonne Koski et al. · Physical Review Applied · 2020 · 68 citations · Full text

Computing, Computer Science, Physics +17

Modern applications of machine learning in quantum sciences

Anna Dawid, Julian Arnold, Borja Requena et al. · arXiv (Cornell University) · 2022 · 68 citations · Full text

Computing, Computer Science, Physics +17

Unsupervised identification of topological phase transitions using predictive models

Eliška Greplová, Agnes Valenti, Gregor Boschung et al. · Repository for Publications and Research Data (ETH Zurich) · 2020 · 60 citations · Full text

Natural Sciences, Physics, Computational Physics +9

Hamiltonian learning for quantum error correction

Agnes Valenti, Evert van Nieuwenburg, Sebastian D. Huber et al. · Repository for Publications and Research Data (ETH Zurich) · 2019 · 60 citations · Full text

Computing, Computer Science, Physics +17

Scalable Hamiltonian learning for large-scale out-of-equilibrium quantum dynamics

Agnes Valenti, Guliuxin Jin, Julian Léonard et al. · Physical review. A/Physical review, A · 2022 · 32 citations · Full text

Computing, Computer Science, Physics +16