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Quantum phase transition between symmetry enriched topological phases in tensor-network states
- Source :
- Phys. Rev. Research 5, 043078 (2023)
- Publication Year :
- 2023
-
Abstract
- Quantum phase transitions between different topologically ordered phases exhibit rich structures and are generically challenging to study in microscopic lattice models. In this work, we propose a tensor-network solvable model that allows us to tune between different symmetry enriched topological (SET) phases. Concretely, we consider a decorated two-dimensional toric code model for which the ground state can be expressed as a two-dimensional tensor-network state with bond dimension $D=3$ and two tunable parameters. We find that the time-reversal (TR) symmetric system exhibits three distinct phases (i) an SET toric code phase in which anyons transform non-trivially under TR, (ii) a toric code phase in which TR does not fractionalize, and (iii) a topologically trivial phase that is adiabatically connected to a product state. We characterize the different phases using the topological entanglement entropy and a membrane order parameter that distinguishes the two SET phases. Along the phase boundary between the SET toric code phase and the toric code phase, the model has an enhanced $U(1)$ symmetry and the ground state is a quantum critical loop gas wavefunction whose squared norm is equivalent to the partition function of the classical $O(2)$ model. By duality transformations, this tensor-network solvable model can also be used to describe transitions between SET double-semion phases and between $\mathbb{Z}_2\times\mathbb{Z}_2^T$ symmetry protected topological phases in two dimensions.<br />Comment: 17 pages, 6 figures
- Subjects :
- Condensed Matter - Strongly Correlated Electrons
Quantum Physics
Subjects
Details
- Database :
- arXiv
- Journal :
- Phys. Rev. Research 5, 043078 (2023)
- Publication Type :
- Report
- Accession number :
- edsarx.2305.02432
- Document Type :
- Working Paper
- Full Text :
- https://doi.org/10.1103/PhysRevResearch.5.043078