NetKet: A machine learning toolkit for many-body quantum systems G Carleo, K Choo, D Hofmann, JET Smith, T Westerhout, F Alet, EJ Davis, ... SoftwareX 10, 100311, 2019 | 133 | 2019 |
Netket 3: Machine learning toolbox for many-body quantum systems F Vicentini, D Hofmann, A Szabó, D Wu, C Roth, C Giuliani, G Pescia, ... SciPost Physics Codebases, 007, 2022 | 99 | 2022 |
Role of stochastic noise and generalization error in the time propagation of neural-network quantum states D Hofmann, G Fabiani, J Mentink, G Carleo, M Sentef SciPost Physics 12 (5), 165, 2022 | 27 | 2022 |
Witnessing nonequilibrium entanglement dynamics in a strongly correlated fermionic chain DR Baykusheva, MH Kalthoff, D Hofmann, M Claassen, DM Kennes, ... Physical Review Letters 130 (10), 106902, 2023 | 11 | 2023 |
Can neural quantum states learn volume-law ground states? G Passetti, D Hofmann, P Neitemeier, L Grunwald, MA Sentef, ... arXiv preprint arXiv:2212.02204, 2022 | 11 | 2022 |
Quantum walk versus classical wave: Distinguishing ground states of quantum magnets by spacetime dynamics P Wrzosek, K Wohlfeld, D Hofmann, T Sowiński, MA Sentef Physical Review B 102 (2), 024440, 2020 | 5 | 2020 |
Resonant laser excitation and time-domain imaging of chiral topological polariton edge states D Hofmann, MA Sentef Physical Review Research 2 (3), 033386, 2020 | 3 | 2020 |
Challenges for simulating quantum spin dynamics in two dimensions by neural network quantum states D Hofmann, G Fabiani, J Mentink, G Carleo, M Sentef APS March Meeting Abstracts 2021, A21. 009, 2021 | | 2021 |
Quantum dynamics in driven spin systems with neural-network quantum states D Hofmann, G Carleo, A Rubio, M Sentef Bulletin of the American Physical Society 65, 2020 | | 2020 |
Laser Control of Topological Polaritons D Hofmann Universität Hamburg Hamburg, 2018 | | 2018 |
Simulation of Driven Cuprate Superconductors in Ultra-cold-atom Systems D Hofmann Universität Hamburg, Fachbereich Informatik, 2015 | | 2015 |