Data and source code for the paper entitled "Quantum circuit complexity and unsupervised machine learning of topological order ".
Abstract
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 and ground states are calculated from the MPS-based DMRG using the TeNPy Library (https://github.com/tenpy/tenpy).
Publication details
- Journal / source
- Figshare
- Publication date
- 20 April 2026
- Document type
- Dataset