Hyperbolic Fracton Model, Subsystem Symmetry and Holography III: Extension to Generic Tessellations
- URL: http://arxiv.org/abs/2510.25994v1
- Date: Wed, 29 Oct 2025 22:10:04 GMT
- Title: Hyperbolic Fracton Model, Subsystem Symmetry and Holography III: Extension to Generic Tessellations
- Authors: Yosef Shokeeb, Ludovic D. C. Jaubert, Han Yan,
- Abstract summary: We generalize the Hyperbolic Fracton Model from the $5,4$ tessellation to generic tessellations.<n>Subsystem symmetries, fracton mobility, and holographic correspondence are investigated.
- Score: 8.819350777284008
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We generalize the Hyperbolic Fracton Model from the $\{5,4\}$ tessellation to generic tessellations, and investigate its core properties: subsystem symmetries, fracton mobility, and holographic correspondence. While the model on the original tessellation has features reminiscent of the flat-space lattice cases, the generalized tessellations exhibit a far richer and more intricate structure. The ground-state degeneracy and subsystem symmetries are generated recursively layer-by-layer, through the inflation rule, but without a simple, uniform pattern. The fracton excitations follow exponential-in-distance and algebraic-in-lattice-size growing patterns when moving outward, and depend sensitively to the tessellation geometry, differing qualitatively from both type-I or type-II fracton model on flat lattices. Despite this increased complexity, the hallmark holographic features -- subregion duality via Rindler reconstruction, the Ryu-Takayanagi formula for mutual information, and effective black hole entropy scaling with horizon area -- remain valid. These results demonstrate that the holographic correspondence in fracton models persists in generic tessellations, and provide a natural platform to explore more intricate subsystem symmetries and fracton physics.
Related papers
- Generalized Linear Mode Connectivity for Transformers [87.32299363530996]
A striking phenomenon is linear mode connectivity (LMC), where independently trained models can be connected by low- or zero-loss paths.<n>Prior work has predominantly focused on neuron re-ordering through permutations, but such approaches are limited in scope.<n>We introduce a unified framework that captures four symmetry classes: permutations, semi-permutations, transformations, and general invertible maps.<n>This generalization enables, for the first time, the discovery of low- and zero-barrier linear paths between independently trained Vision Transformers and GPT-2 models.
arXiv Detail & Related papers (2025-06-28T01:46:36Z) - Angular $k$-uniformity and the Hyperinvariance of Holographic Codes [1.0878040851638]
Holographic quantum error-correcting codes have emerged as compelling toy models for exploring bulk-boundary duality in AdS-CFT.<n>We introduce a geometric criterion called angular k-uniformity, which refines standard k-uniformity and its planar variants.<n>This condition enables the systematic identification and construction of hyperinvariant holographic codes on regular hyperbolic honeycombs in arbitrary dimension.
arXiv Detail & Related papers (2025-06-06T23:08:13Z) - From Chern to Winding: Topological Invariant Correspondence in the Reduced Haldane Model [0.4249842620609682]
We present an exact analytical investigation of the topological properties and edge states of the Haldane model defined on a honeycomb lattice with zigzag edges.<n>We show that the $nu$ exactly reproduces the Chern number of the parent model in the topologically nontrivial phase.<n>Our analysis further reveals the critical momentum $ k_c $ where edge states traverse the bulk energy gap.
arXiv Detail & Related papers (2025-05-26T19:11:43Z) - Exceptional Points and Stability in Nonlinear Models of Population Dynamics having $\mathcal{PT}$ symmetry [49.1574468325115]
We analyze models governed by the replicator equation of evolutionary game theory and related Lotka-Volterra systems of population dynamics.<n>We study the emergence of exceptional points in two cases: (a) when the governing symmetry properties are tied to global properties of the models, and (b) when these symmetries emerge locally around stationary states.
arXiv Detail & Related papers (2024-11-19T02:15:59Z) - Geometric Trajectory Diffusion Models [58.853975433383326]
Generative models have shown great promise in generating 3D geometric systems.
Existing approaches only operate on static structures, neglecting the fact that physical systems are always dynamic in nature.
We propose geometric trajectory diffusion models (GeoTDM), the first diffusion model for modeling the temporal distribution of 3D geometric trajectories.
arXiv Detail & Related papers (2024-10-16T20:36:41Z) - Exotic Symmetry Breaking Properties of Self-Dual Fracton Spin Models [4.467896011825295]
We investigate the ground-state properties and phase transitions of two self-dual fracton spin models.
We show that both models experience a strong first-order phase transition with an anomalous $L-(D-1)$ scaling.
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.
arXiv Detail & Related papers (2023-11-18T13:12:14Z) - Curve Your Attention: Mixed-Curvature Transformers for Graph
Representation Learning [77.1421343649344]
We propose a generalization of Transformers towards operating entirely on the product of constant curvature spaces.
We also provide a kernelized approach to non-Euclidean attention, which enables our model to run in time and memory cost linear to the number of nodes and edges.
arXiv Detail & Related papers (2023-09-08T02:44:37Z) - Geometric Neural Diffusion Processes [55.891428654434634]
We extend the framework of diffusion models to incorporate a series of geometric priors in infinite-dimension modelling.
We show that with these conditions, the generative functional model admits the same symmetry.
arXiv Detail & Related papers (2023-07-11T16:51:38Z) - Higher-Form Subsystem Symmetry Breaking: Subdimensional Criticality and
Fracton Phase Transitions [0.0]
Subsystem symmetry has emerged as a powerful organizing principle for unconventional quantum phases of matter.
We show that certain transitions out of familiar fracton phases, including the X-cube model, can be understood in terms of the spontaneous breaking of subsystem symmetries.
arXiv Detail & Related papers (2021-12-23T17:38:07Z) - Boundary theories of critical matchgate tensor networks [59.433172590351234]
Key aspects of the AdS/CFT correspondence can be captured in terms of tensor network models on hyperbolic lattices.
For tensors fulfilling the matchgate constraint, these have previously been shown to produce disordered boundary states.
We show that these Hamiltonians exhibit multi-scale quasiperiodic symmetries captured by an analytical toy model.
arXiv Detail & Related papers (2021-10-06T18:00:03Z) - Lossless Compression of Structured Convolutional Models via Lifting [14.63152363481139]
We introduce a simple and efficient technique to detect the symmetries and compress the neural models without loss of any information.
We demonstrate through experiments that such compression can lead to significant speedups of structured convolutional models.
arXiv Detail & Related papers (2020-07-13T08:02:27Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.