Classification of topological phases with finite internal symmetries in all dimensions
Liang Kong, Tian Lan, Xiao-Gang Wen, Zhi-Hao Zhang, Hao Zheng
TL;DR
The paper presents a unified, two-pronged framework to classify symmetry-protected trivial (SPT) and anomaly-free symmetry-enriched topological (SET) orders across all spatial dimensions with finite internal symmetries. It develops both: (i) gauging the symmetry in the same dimension via minimal modular extensions and (ii) a boundary–bulk approach that uses the center and condensation completion to encode intrinsic data. The main contributions include a complete description for 1d and 2d cases, explicit group identifications (e.g., $H^3(G,U(1))$ for 2d bosonic SPT, $\mathbb{Z}_{16}$ for fermionic 2d cases with $G=\mathbb{Z}_2$, etc.), and a general higher-dimensional classification framework leveraging $E_k$-monoidal categories and delooping. The results establish the equivalence of the two approaches and provide a rigorous mathematical blueprint for predicting and classifying SPT/SET orders via higher-categorical centers, with condensation completion formalizing the inclusion of all defect descendants.
Abstract
We develop a mathematical theory of symmetry protected trivial (SPT) orders and anomaly-free symmetry enriched topological (SET) orders in all dimensions via two different approaches with an emphasis on the second approach. The first approach is to gauge the symmetry in the same dimension by adding topological excitations as it was done in the 2d case, in which the gauging process is mathematically described by the minimal modular extensions of unitary braided fusion 1-categories. This 2d result immediately generalizes to all dimensions except in 1d, which is treated with special care. The second approach is to use the 1-dimensional higher bulk of the SPT/SET order and the boundary-bulk relation. This approach also leads us to a precise mathematical description and a classification of SPT/SET orders in all dimensions. The equivalence of these two approaches, together with known physical results, provides us with many precise mathematical predictions.
