该报告将于1月11号在同一地点再举办一次。

Tensor network states are variational ansatzs of quantum many-body wavefunctions. The celebrated density matrix renormalization group (DMRG) algorithm produces virtually exact ground states of local 1D Hamiltonians in the form of tensor network states. On the other hand their potential in higher dimensions and in simulating dynamical and thermal properties are less explored. In the first lecture I will introduce recent progress in simulating 1D thermal ensembles of? quantum states via time evolution and sampling (METTS). In the second lecture I will introduce a special class of tensor networks states,? isometric tensor network states. This ansatz efficiently simulate real-time dynamics and thermal ensembles of 2D quantum systems.