Strong Hilbert space fragmentation and fractons from subsystem and higher-form symmetries
- URL: http://arxiv.org/abs/2505.15889v1
- Date: Wed, 21 May 2025 18:00:00 GMT
- Title: Strong Hilbert space fragmentation and fractons from subsystem and higher-form symmetries
- Authors: Charles Stahl, Oliver Hart, Alexey Khudorozhkov, Rahul Nandkishore,
- Abstract summary: We show that taking strongly fragmented models in one dimension and "lifting" to higher dimensions using subsystem symmetries can yield strongly fragmented dynamics in higher dimensions.<n>This provides a new route to higher-dimensional strong fragmentation, and also a new route to fractonic behavior.
- Score: 0.32834134397982795
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We introduce a new route to Hilbert space fragmentation in high dimensions leveraging the group-word formalism. We show that taking strongly fragmented models in one dimension and "lifting" to higher dimensions using subsystem symmetries can yield strongly fragmented dynamics in higher dimensions, with subdimensional (e.g., lineonic) excitations. This provides a new route to higher-dimensional strong fragmentation, and also a new route to fractonic behavior. Meanwhile, lifting one-dimensional strongly fragmented models to higher dimensions using higher-form symmetries yields models with topologically robust weak fragmentation. In three or more spatial dimensions, one can also "mix and match" subsystem and higher-form symmetries, leading to canonical fracton models such as X-cube. We speculate that this approach could also yield a new route to non-Abelian fractons. These constructions unify a number of phenomena that have been discussed in the literature, as well as furnishing models with novel properties.
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) - Lie symmetries and ghost-free representations of the Pais-Uhlenbeck model [44.99833362998488]
We investigate the Pais-Uhlenbeck (PU) model, a paradigmatic example of a higher time-derivative theory.<n>Exploiting Lie symmetries in conjunction with the model's Bi-Hamiltonian structure, we construct distinct Poisson bracket formulations.<n>Our approach yields a unified framework for interpreting and stabilising higher time-derivative dynamics.
arXiv Detail & Related papers (2025-05-09T15:16:40Z) - Quantized topological phases beyond square lattices in Floquet synthetic dimensions [0.0]
We show that non-square lattice Hamiltonians can be implemented using Floquet synthetic dimensions.
Our construction uses dynamically modulated ring resonators and provides the capacity for direct $k$-space engineering of lattice Hamiltonians.
arXiv Detail & Related papers (2024-11-04T17:50:48Z) - 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) - Systematic construction of stabilizer codes via gauging abelian boundary symmetries [0.0]
We propose a systematic framework to construct a (d+1)-dimensional stabilizer model from an initial generic d-dimensional abelian symmetry.
Our approach builds upon the iterative gauging procedure, developed by one of the authors in [J. Garre-Rubio, Nature Commun. 15, 7986 (2024)
arXiv Detail & Related papers (2024-10-11T17:57:40Z) - Scaling Riemannian Diffusion Models [68.52820280448991]
We show that our method enables us to scale to high dimensional tasks on nontrivial manifold.
We model QCD densities on $SU(n)$ lattices and contrastively learned embeddings on high dimensional hyperspheres.
arXiv Detail & Related papers (2023-10-30T21:27:53Z) - 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) - Two dimensional momentum state lattices [0.0]
Building on the development of momentum state lattices (MSLs) over the past decade, we introduce a simple extension of this technique to higher dimensions.
MSLs have enabled the realization of tight-binding models with tunable disorder, gauge fields, non-Hermiticity, and other features.
We discuss many of the direct extensions to this model, including the introduction of disorder and non-Hermiticity, which will enable the exploration of new transport and localization phenomena in higher dimensions.
arXiv Detail & Related papers (2023-05-29T09:57:56Z) - Neural Wavelet-domain Diffusion for 3D Shape Generation [52.038346313823524]
This paper presents a new approach for 3D shape generation, enabling direct generative modeling on a continuous implicit representation in wavelet domain.
Specifically, we propose a compact wavelet representation with a pair of coarse and detail coefficient volumes to implicitly represent 3D shapes via truncated signed distance functions and multi-scale biorthogonal wavelets.
arXiv Detail & Related papers (2022-09-19T02:51:48Z) - 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) - Quantum anomalous Hall phase in synthetic bilayers via twistless
twistronics [58.720142291102135]
We propose quantum simulators of "twistronic-like" physics based on ultracold atoms and syntheticdimensions.
We show that our system exhibits topologicalband structures under appropriate conditions.
arXiv Detail & Related papers (2020-08-06T19:58:05Z) - Subsystem symmetry enriched topological order in three dimensions [0.0]
We introduce a model of three-dimensional (3D) topological order enriched by planar subsystem symmetries.
We study the non-trivial action of the symmetries on boundary of this model, uncovering a mixed boundary anomaly between global and subsystem symmetries.
arXiv Detail & Related papers (2020-04-08T18:01:06Z)
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.