Research
Bohrdt Group
Understanding strongly interacting quantum many-body systems
We aim to understand strongly interacting quantum many-body systems using complementary theoretical and data-driven tools. To this end, we combine state-of-the-art numerical methods from condensed matter physics, intuitive physical pictures, close collaboration with quantum simulation experiments, and machine-learning techniques such as neural networks.
Quantum simulation experiments provide a unique perspective on strongly correlated many-body systems: their high degree of control and tunability allows microscopic models to be realized directly. In many systems, single-site-resolved readout enables a real-space view of condensed matter phenomena, while Fock-space snapshots make it possible to study correlations up to arbitrary order.
These experiments also bridge theoretical models and real materials. They allow probes similar to those used in condensed matter experiments, such as spectroscopy, to be implemented in clean microscopic systems without disorder, unknown coupling constants, or phonon contributions.
Research Topics
| Fermi-Hubbard type models → |
| Machine learning for quantum data → |
| Neural quantum states → |