IntroductionThis course will focus on the basic concepts and representative algorithms of tensor networks. For 1D tensor networks, we will introduce the Matrix Product State(MPS) and its Density Matrix Renormalization Group algorithm(DMRG), Time Evolution Block Decimation algorithm(TEBD), etc. For high-dimensional tensor networks, we will include the Projected Entangled Pair States (PEPS) and i...
PrerequisiteA basic knowledge of quantum mechanics is required.AbstractThis course will provide a general introduction to the theoretical part of tensor networks. The main contents include symmetric tensor network representation, fermionic tensor network representation, tensor network representation of typical topological quantum states, as well as connections between tensor network representat...