| Strain control of exciton–phonon coupling in atomically thin semiconductors I Niehues, R Schmidt, M Druppel, P Marauhn, D Christiansen, M Selig, ... Nano letters 18 (3), 1751-1757, 2018 | 255 | 2018 |
| Modern applications of machine learning in quantum sciences A Dawid, J Arnold, B Requena, A Gresch, M Płodzień, K Donatella, ... arXiv preprint arXiv:2204.04198, 2022 | 95* | 2022 |
| Adversarial Hamiltonian learning of quantum dots in a minimal Kitaev chain R Koch, D Van Driel, A Bordin, JL Lado, E Greplova Physical Review Applied 20 (4), 044081, 2023 | 18 | 2023 |
| Designing quantum many-body matter with conditional generative adversarial networks R Koch, JL Lado Physical Review Research 4 (3), 033223, 2022 | 15 | 2022 |
| Hamiltonian inference from dynamical excitations in confined quantum magnets N Karjalainen, Z Lippo, G Chen, R Koch, AO Fumega, JL Lado Physical Review Applied 20 (2), 024054, 2023 | 11* | 2023 |
| Cross-Platform Autonomous Control of Minimal Kitaev Chains D van Driel, R Koch, VPM Sietses, SLD ten Haaf, CX Liu, F Zatelli, ... arXiv preprint arXiv:2405.04596, 2024 | 8 | 2024 |
| Neural network enhanced hybrid quantum many-body dynamical distributions R Koch, JL Lado Physical Review Research 3 (3), 033102, 2021 | 7 | 2021 |
| Hamiltonian learning with real-space impurity tomography in topological moiré superconductors M Khosravian, R Koch, JL Lado Journal of Physics: Materials 7 (1), 015012, 2024 | 6 | 2024 |
| Automated Tune-Up of Poor Man's Majorana's In a two-Site Kitaev Chain Using a Neural Network D van Driel, R Koch, B Ten Haaf, V Sietses, C Liu, M Wimmer, E Greplova, ... Bulletin of the American Physical Society, 2024 | | 2024 |
| Engineering quantum matter with generative machine learning RA Koch Aalto University, 2024 | | 2024 |
