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Exotic Symmetry Breaking Properties of Self-Dual Fracton Spin Models

Authors :
Canossa, Giovanni
Pollet, Lode
Martin-Delgado, Miguel A.
Song, Hao
Liu, Ke
Source :
Phys. Rev. Research 6, 013304 (2024)
Publication Year :
2023

Abstract

Fracton codes host unconventional topological states of matter and are promising for fault-tolerant quantum computation due to their large coding space and strong resilience against decoherence and noise. In this work, we investigate the ground-state properties and phase transitions of two prototypical self-dual fracton spin models -- the tetrahedral Ising model and the fractal Ising model -- which correspond to error-correction procedures for the representative fracton codes of type-I and type-II, the checkerboard code and the Haah's code, respectively, in the error-free limit. They are endowed with exotic symmetry-breaking properties that contrast sharply with the spontaneous breaking of global symmetries and deconfinement transition of gauge theories. To show these unconventional behaviors, which are associated with sub-dimensional symmetries, we construct and analyze the order parameters, correlators, and symmetry generators for both models. Notably, the tetrahedral Ising model acquires an extended semi-local ordering moment, while the fractal Ising model fits into a polynomial ring representation and leads to a fractal order parameter. Numerical studies combined with analytical tools show that both models experience a strong first-order phase transition with an anomalous $L^{-(D-1)}$ scaling, despite the fractal symmetry of the latter. Our work provides new understanding of sub-dimensional symmetry breaking and makes an important step for studying quantum-error-correction properties of the checkerboard and Haah's codes.<br />Comment: 13 pages, 6 figures. v2: published version

Details

Database :
arXiv
Journal :
Phys. Rev. Research 6, 013304 (2024)
Publication Type :
Report
Accession number :
edsarx.2311.11066
Document Type :
Working Paper
Full Text :
https://doi.org/10.1103/PhysRevResearch.6.013304