Publikationen von Hannah Lange

Lange, H.; Bornet, G.; Emperauger, G.; Chen, C.; Lahaye, T.; Kienle, S.; Browaeys, A.; Bohrdt, A.: Transformer neural networks and quantum simulators: a hybrid approach for simulating strongly correlated systems. Quantum 9, 1675 (2025)

Ibarra-Garcia-Padilla, E.; Lange, H.; Melko, R. G.; Scalettar, R. T.; Carrasquilla, J.; Bohrdt , A.; Khatami, E.: Autoregressive neural quantum states of Fermi Hubbard models. Physical Review Research 7, 013122 (2025)

Döschl, F.; Palm, F. A.; Lange, H.; Grusdt , F.; Bohrdt , A.: Neural network quantum states for the interacting Hofstadter model with higher local occupations and long-range interactions. Physical Review B 111, 045408 (2025)

Homeier , L.; Lange, H.; Demler, E.; Bohrdt , A.; Grusdt , F.: Feshbach hypothesis of high-Tc superconductivity in cuprates. Nature Communications 16, 314 (2025)

Schlömer, H.; Lange, H.; Franz, T.; Chalopin, T.; Bojovic, P.; Wang, S.; Bloch, I.; Hilker, T. A.; Grusdt , F.; Bohrdt, A.: Local Control and Mixed Dimensions: Exploring High-Temperature Superconductivity in Optical Lattices. PRX Quantum 5, 040341 (2024)

Lange, H.; van de Walle, A.; Abedinnia, A.; Bohrdt, A.: From architectures to applications: a review of neural quantum states. Quantum Science and Technology 9 (4), 040501 (2024)

Lange, H.; Homeier, L.; Demler, E.; Schollwöck, U.; Bohrdt, A.; Grusdt, F.: Pairing dome from an emergent Feshbach resonance in a strongly repulsive bilayer model. Physical Review B 110, L081113 (2024)

Lange, H.; Döschl, F.; Carrasquilla, J.; Bohrdt, A.: Neural network approach to quasiparticle dispersions in doped antiferromagnets. Communications Physics 7, 187 (2024)

Lange, H.; Homeier, L.; Demler, E.; Schollwöck, U.; Grusdt, F.; Bohrdt, A.: Feshbach resonance in a strongly repulsive ladder of mixed dimensionality: A possible scenario for bilayer nickelate superconductors. Physical Review B 109, 045127 (2024)