Symmetry fractionalization and anomaly detection in three-dimensional topological phases
Xie Chen, Michael Hermele

TL;DR
This paper explores symmetry fractionalization and anomaly detection in 3D topological phases, revealing how loop excitations relate to 2D SET phases and identifying anomalous patterns that require higher-dimensional SPT phases for realization.
Contribution
It introduces a dimensional reduction approach to describe symmetry fractionalization on loops in 3D SET phases and detects anomalies using flux fusion, extending understanding from 2D to 3D.
Findings
Identified four non-anomalous 3D SET phases.
Discovered one anomalous SET phase requiring 4D SPT surface realization.
Developed a flux fusion method for anomaly detection in 3D.
Abstract
In a phase with fractional excitations, topological properties are enriched in the presence of global symmetry. In particular, fractional excitations can transform under symmetry in a fractionalized manner, resulting in different Symmetry Enriched Topological (SET) phases. While a good deal is now understood in regarding what symmetry fractionalization patterns are possible, the situation in is much more open. A new feature in is the existence of loop excitations, so to study SET phases, first we need to understand how to properly describe the fractionalized action of symmetry on loops. Using a dimensional reduction procedure, we show that these loop excitations exist as the boundary between two SET phases, and the symmetry action is characterized by the corresponding difference in SET orders. Moreover, similar to the case, we find that some seemingly…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
