Unsupervised manifold learning of topological order derived from quantum circuit complexity

The codes provide unsupervised clustering of topological quantum phases / orders of bond alternating XXZ spin chain, Kitaev's toric code ground state, etc., derived theoretically from Nielsen's quantum circuit complexity; Data of ground states are calculated from the MPS-based DMRG using the TeNPy Library (https://github.com/tenpy/tenpy). Note: Read README in each code file before running the codes.