Publications of IMPRS-QST graduate students

Luo, M.; Cirac, J. I.: Efficient simulation of quantum chemistry problems in an enlarged basis set. PRX Quantum 6, 010355 (2025)

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)

Lu, S.; Kanasz-Nagy, M.; Kukuljan, I.; Cirac, J. I.: Tensor networks and efficient descriptions of classical data. Physical Review A 111, 032409 (2025)

Chalopin, T.; Bojović, P.; Bourgund, D.; Wang, S.; Franz , T.; Bloch, I.; Hilker, T. A.: Optical Superlattice for Engineering Hubbard Couplings in Quantum Simulation. Physical Review Letters 134, 053402 (2025)

Dziewior, J.; Ruscio, L.; Knips, L.; Meyer, E.; Szameit, A.; Meinecke, J.: Tracing Information Flow from Open Quantum Systems. Laser & Photonics Reviews 2025, 2400737 (2025)

Gievers, M.; Schmidt, R.; von Delft, J.; Kugler, F. B.: Subleading logarithmic behavior in the parquet formalism. Physical Review B 111, 085151 (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)

Irmejs, R.; Santos, R. A.: Approximating dynamical correlation functions with constant depth quantum circuits. Quantum 9, 1639 (2025)

Lu, S.; Giudice, G.; Cirac, J. I.: Variational Neural and Tensor Network Approximations of Thermal States. Physical Review B 111, 075102 (2025)

Yang, C.; Florido Llinàs, M.; Gu, M.; Elliott, T. J.: Dimension reduction in quantum sampling of stochastic processes. npj Quantum Information 11, 34 (2025)

Bourgund, D.; Chalopin, T.; Bojovic, P.; Schlömer, H.; Wang, S.; Franz, T.; Hirthe, S.; Bohrdt, A.; Grusdt , F.; Bloch, I. et al.; Hilker, T. A.: Formation of individual stripes in a mixed-dimensional cold-atom Fermi-Hubbard system. Nature 637, pp. 57 - 62 (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)

Gkritsis, F.; Dux , D.; Zhang, J.; Jain, N.; Gogolin, C.; Preiss, P.: Simulating Chemistry with Fermionic Optical Superlattices. PRX Quantum 6, 010318 (2025)

Gritsch, A.; Ulanowski, A.; Pforr, J.; Reiserer, A.: Optical single-shot readout of spin qubits in silicon. Nature Communications 16, 64 (2025)

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

Papaefstathiou, I.; Knolle, J.; Bañuls, M. C.: Real-time scattering in the lattice Schwinger model. Physical Review D 111, 014504 (2025)

Schiffer, B.; Tura, J.: Quantum eigenstate preparation assisted by a coherent link. Physical Review A 111, 012445 (2025)

Dziewior, J.: Probing Quantum Reality -Weak Values and Double-Slit Trajectories. Dissertation, Ludwig Maximilians Universität München, München (2025)

Karch, S.; Bandyopadhyay, S.; Sun, Z.-H.; Impertro, A.; Huh, S.; Rodríguez, I. P.; Wienand, J. F.; Ketterle, W.; Heyl, M.; Polkovnikov, A. et al.; Bloch, I.; Aidelsburger, M.: Probing quantum many-body dynamics using subsystem Loschmidt echos. (submitted)

Cocchiarella, D.; Bañuls, M. C.: Low-Temperature Gibbs States with Tensor Networks. (submitted)