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Classifying phases protected by matrix product operator symmetries using matrix product states

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José Garre-Rubio1, Laurens Lootens2, and András Molnár1

1University of Vienna, Faculty of Mathematics, Oskar-Morgenstern-Platz 1, 1090 Wien, Austria
2Department of Physics and Astronomy, Ghent University, Krijgslaan 281, S9, 9000 Ghent, Belgium

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Abstract

We classify the different ways in which matrix product states (MPSs) can stay invariant under the action of matrix product operator (MPO) symmetries. This is achieved through a local characterization of how the MPSs, that generate a ground space, remain invariant under a global MPO symmetry. This characterization yields a set of quantities satisfying the coupled pentagon equations, associated with a module category over the fusion category that describes the MPO symmetry. Equivalence classes of these quantities provide complete invariants for an MPO symmetry protected phase: they are robust under continuous deformations of the MPS tensor, and two phases with the same equivalence class can be connected by a symmetric gapped path. Our techniques match and extend the known renormalization fixed point classifications and facilitate the numerical study of these systems. For MPO symmetries described by a group, we recover the symmetry protected topological order classification for unique and degenerate ground states. Moreover, we study the interplay between time reversal symmetry and an MPO symmetry and we also provide examples of our classification, together with explicit constructions based on groups. Finally, we elaborate on the connection between our setup and gapped boundaries of two-dimensional topological systems, where MPO symmetries also play a key role.

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Cited by

[1] John McGreevy, “Generalized Symmetries in Condensed Matter”, arXiv:2204.03045, (2022).

[2] José Garre Rubio and Ilya Kull, “Gauging quantum states with non-anomalous matrix product operator symmetries”, arXiv:2209.07355, (2022).

[3] Kansei Inamura, “Fermionization of fusion category symmetries in 1+1 dimensions”, arXiv:2206.13159, (2022).

The above citations are from SAO/NASA ADS (last updated successfully 2023-02-22 02:27:58). The list may be incomplete as not all publishers provide suitable and complete citation data.

On Crossref’s cited-by service no data on citing works was found (last attempt 2023-02-22 02:27:56).

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