Thema der Dissertation:
Development of Two-Dimensional Tensor Network Methods for the Variational Simulation of Quantum Many-Body States
Development of Two-Dimensional Tensor Network Methods for the Variational Simulation of Quantum Many-Body States
Abstract: Strongly correlated quantum systems are one of the most challenging phenomena in modern condensed matter physics. Unfortunately, the theoretical access is limited by the exponential growth of the Hilbert space in a many-body setting. Recent developments in the field of tensor networks allow to efficiently and accurately simulate two-dimensional quantum many-body states in the thermodynamic limit. The variational update, globally optimizing the wave-function, encoded as tensor network in the form of an infinite projected entangled pair state (iPEPS), is the state-of-the-art method to obtain ground states of many-body Hamiltonian models. Applying this method advancements, we study a currently widely studied model of frustrated magnetism, the Heisenberg maple-leaf antiferromagnet. We are able to find a large phase of vanishing magnetization in contradiction to previous works and, to the best of our knowledge, the lowest reported variational ground state energy at the isotropic point of the model.
Time & Location
Jun 26, 2026 | 12:00 PM
Hörsaal B (0.1.01)
(Fachbereich Physik, Arnimallee 14, 14195 Berlin)