Hybrid Approaches to Quantum Many-Body Systems (C02)

• Subject Area: Theoretical Condensed Matter Physics ; Nuclear and Elementary Particle Physics, Quantum Mechanics, Relativity, Fields ; Theoretical Chemistry: Electronic Structure, Dynamics, Simulation ; Theoretical Chemistry: Molecules, Materials, Surfaces
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 511713970

The main goal of this project is to combine different methodologies effectively, leveraging their strengths against weaknesses. By integrating hybrid stochastic techniques with machine learning, multidimensional Tensor Networks, and the Iterative Configuration Expansion from quantum chemistry, our long-term goal is to create a powerful approach to challenging quantum many-body systems. The objective is to unlock investigations of currently inaccessible quantum many-body systems at finite chemical potential, particularly focusing on QCD at finite baryon density and models for high-Tc superconductors.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 1639: NuMeriQS: Numerical Methods for Dynamics and Structure Formation in Quantum Systems
• Applicant Institution: Rheinische Friedrich-Wilhelms-Universität Bonn
• Project Heads: Professor Dr. David Luitz; Professor Thomas Luu, Ph.D.; Professor Dr. Frank Neese; Professor Dr. Carsten Urbach