Topological fracton quantum phase transitions by tuning exact tensor network states
Guo-Yi Zhu, Ji-Yao Chen, Peng Ye, Simon Trebst

TL;DR
This paper introduces an exact tensor-network method to study topological fracton phase transitions in a generalized $ ext{Z}_N$ model, revealing both first-order and continuous transitions, as well as conformal quantum critical points.
Contribution
It develops a tractable tensor-network approach for fracton models, enabling exact analysis of phase transitions and uncovering new critical phenomena beyond traditional paradigms.
Findings
Identified weakly first-order confinement transitions in $ ext{Z}_N$ fracton models.
Discovered a line of 3D conformal quantum critical points with flux loop fluctuations.
Showed the $N oty$ limit leads to continuous phase transitions beyond Landau-Ginzburg-Wilson.
Abstract
Gapped fracton phases of matter generalize the concept of topological order and broaden our fundamental understanding of entanglement in quantum many-body systems. However, their analytical or numerical description beyond exactly solvable models remains a formidable challenge. Here we employ an exact 3D quantum tensor-network approach that allows us to study a generalization of the prototypical X cube fracton model and its quantum phase transitions between distinct topological states via fully tractable wavefunction deformations. We map the (deformed) quantum states exactly to a combination of a classical lattice gauge theory and a plaquette clock model, and employ numerical techniques to calculate various entanglement order parameters. For the model we find a family of (weakly) first-order fracton confinement transitions that in the limit of …
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Taxonomy
TopicsQuantum many-body systems · Theoretical and Computational Physics · Computational Physics and Python Applications
