Excitations and dynamics in 1- and 2-dimensional strongly-correlated systems

Ian McCulloch^1*, Jesse Osborne²

¹Physics, National Tsing Hua University, Hsinchu, Taiwan
²School of Mathematics and Physics, University of Queensland, Queensland, Australia

* Presenter:Ian McCulloch, email:ian@phys.nthu.edu.tw

In the past decades, tensor network-based algorithms such as Matrix Product States (MPS) and DMRG have emerged as the main technique for ground-states of low-dimensional strongly-correlated systems. In recent years the extension of the MPS ansatz to represent particle-like excitations has been developed for 1D chains and 2D cylinders, and this opens the door to numerical simulation of particle scattering, which is largely unexplored in many-body interacting 2D systems.

Keywords: Tensor networks, Strongly correlated systems, Matrix Product States