2023
DOI: 10.21468/scipostphys.15.4.150
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Towards non-invertible anomalies from generalized Ising models

Shang Liu,
Wenjie Ji

Abstract: We present a general approach to the bulk-boundary correspondence of noninvertible topological phases, including both topological and fracton orders. This is achieved by a novel bulk construction protocol where solvable (d+1)(d+1)-dimensional bulk models with noninvertible topology are constructed from the so-called generalized Ising (GI) models in dd dimensions. The GI models can then terminate on the boundaries of the bulk models. The construction generates abundant examples, including not only prototype one… Show more

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Cited by 9 publications
(7 citation statements)
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“…Similar observations have been made in a recent work about subsystem anomaly[56]. In the meantime, it was noticed that a single boundary anomaly may correspond to different bulk fracton models[57][58][59].…”
supporting
confidence: 87%
“…Similar observations have been made in a recent work about subsystem anomaly[56]. In the meantime, it was noticed that a single boundary anomaly may correspond to different bulk fracton models[57][58][59].…”
supporting
confidence: 87%
“…The questions of how our construction can be generalized to non-Abelian topological orders and its connection with Ref. [37] remain open. Finally, in a forthcoming paper [38], we will present the emergence of non-trivial (3+1)D phases from the gauging of (2+1)D symmetries.…”
Section: Gbulkmentioning
confidence: 99%
“…I thank David Blanik for the discussion that inspired this work, Bram Vancraeynest-De Cuiper, Aleksander Kubicki, Anasuya Lyons and Isabel Miranda for their helpful comments on the manuscript and Dominic Williamson for pointing out Ref. [37].…”
Section: Acknowledgementsmentioning
confidence: 99%
“…Finally, subsystem SymTFT provides a bulk-boundary point of view to study subsystem symmetry. Recently, there are other efforts to study fracton models from bulk-boundary correspondence [82][83][84][85]. Subsystem SymTFT also provides hints to study fracton statistics [86,87].…”
Section: Jhep05(2024)225mentioning
confidence: 99%