FOR 5919:  Machine learning for complex quantum states

• Subject Area: Physics
• Term: since 2026
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 550495627

No abstract available

• DFG Programme: Research Units
• International Connection: Switzerland

Projects

• Combining NQS and quantum simulation: hybrid algorithms for dynamics of two-dimensional quantum matter (Applicants Bohrdt, Annabelle ;  Schmitt, Markus )
• Coordination Funds (Applicant Schmitt, Markus )
• Information Dynamics of Strongly-Interacting Bosons (Applicant Weitenberg, Christof )
• Learning feedback control of monitored quantum dynamics (Applicants Bukov, Marin ;  Schmitt, Markus ;  Trebst, Simon )
• Machine learning for qutrit-based quantum computing and simulation with Rydberg atoms (Applicants Aidelsburger, Monika ;  Bohrdt, Annabelle )
• Operationally meaningful entanglement measures (Applicant Renner, Renato )
• Optimal readout of quantum simulators (Applicants Aidelsburger, Monika ;  Gärttner, Martin ;  Weitenberg, Christof )
• Wave function networks for correlated quantum matter (Applicant Heyl, Markus Philip Ludwig )

• Spokesperson: Dr. Markus Schmitt