Data and source code for the paper entitled "Quantum circuit complexity and unsupervised machine learning of topological order ".

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Authors: Yanming Che, Clemens Gneiting, Xiaoguang Wang, Franco Nori
Cited by: 1

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