Classifying phases protected by matrix product operator symmetries using
matrix product states
- URL: http://arxiv.org/abs/2203.12563v3
- Date: Tue, 14 Feb 2023 20:53:02 GMT
- Title: Classifying phases protected by matrix product operator symmetries using
matrix product states
- Authors: Jos\'e Garre-Rubio, Laurens Lootens, Andr\'as Moln\'ar
- Abstract summary: 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.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
Related papers
- Variational Inference Failures Under Model Symmetries: Permutation Invariant Posteriors for Bayesian Neural Networks [43.88179780450706]
We investigate the impact of weight space permutation symmetries on variational inference.
We devise a symmetric symmetrization mechanism for constructing permutation invariant variational posteriors.
We show that the symmetrized distribution has a strictly better fit to the true posterior, and that it can be trained using the original ELBO objective.
arXiv Detail & Related papers (2024-08-10T09:06:34Z) - Classifying symmetric and symmetry-broken spin chain phases with anomalous group actions [0.0]
We consider the classification problem of quantum spin chains invariant under local decomposable group actions.
We derive invariants for our classification that naturally cover one-dimensional symmetry protected topological phases.
arXiv Detail & Related papers (2024-03-27T13:54:45Z) - Symmetry-restricted quantum circuits are still well-behaved [45.89137831674385]
We show that quantum circuits restricted by a symmetry inherit the properties of the whole special unitary group $SU(2n)$.
It extends prior work on symmetric states to the operators and shows that the operator space follows the same structure as the state space.
arXiv Detail & Related papers (2024-02-26T06:23:39Z) - Phases of Matrix Product States with Symmetric Quantum Circuits and
Symmetric Measurements with Feedforward [0.2010986461330016]
Two matrix product states (MPS) are in the same phase in the presence of symmetries.
We consider how symmetry-preserving measurements with feedforward alter the phase classification of MPS in the presence of global on-site symmetries.
arXiv Detail & Related papers (2023-12-21T13:38:46Z) - Topological quantum chains protected by dipolar and other modulated
symmetries [0.0]
We investigate the physics of one-dimensional symmetry protected topological (SPT) phases protected by symmetries whose symmetry generators exhibit spatial modulation.
We present a simple recipe for constructing modulated SPT models by generalizing the concept of decorated domain walls to spatially modulated symmetry defects.
arXiv Detail & Related papers (2023-09-18T18:00:04Z) - Identifying the Group-Theoretic Structure of Machine-Learned Symmetries [41.56233403862961]
We propose methods for examining and identifying the group-theoretic structure of such machine-learned symmetries.
As an application to particle physics, we demonstrate the identification of the residual symmetries after the spontaneous breaking of non-Abelian gauge symmetries.
arXiv Detail & Related papers (2023-09-14T17:03:50Z) - Oracle-Preserving Latent Flows [58.720142291102135]
We develop a methodology for the simultaneous discovery of multiple nontrivial continuous symmetries across an entire labelled dataset.
The symmetry transformations and the corresponding generators are modeled with fully connected neural networks trained with a specially constructed loss function.
The two new elements in this work are the use of a reduced-dimensionality latent space and the generalization to transformations invariant with respect to high-dimensional oracles.
arXiv Detail & Related papers (2023-02-02T00:13:32Z) - Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras
from First Principles [55.41644538483948]
We design a deep-learning algorithm for the discovery and identification of the continuous group of symmetries present in a labeled dataset.
We use fully connected neural networks to model the transformations symmetry and the corresponding generators.
Our study also opens the door for using a machine learning approach in the mathematical study of Lie groups and their properties.
arXiv Detail & Related papers (2023-01-13T16:25:25Z) - One-dimensional symmetric phases protected by frieze symmetries [0.0]
We make a systematic study of symmetry-protected topological gapped phases of quantum spin chains in the presence of the frieze space groups in one dimension using matrix product states.
We identify seventeen distinct non-trivial phases, define canonical forms, and compare the topological indices obtained from the MPS analysis with the group cohomological predictions.
arXiv Detail & Related papers (2022-02-25T18:41:26Z) - Inverse Learning of Symmetries [71.62109774068064]
We learn the symmetry transformation with a model consisting of two latent subspaces.
Our approach is based on the deep information bottleneck in combination with a continuous mutual information regulariser.
Our model outperforms state-of-the-art methods on artificial and molecular datasets.
arXiv Detail & Related papers (2020-02-07T13:48:52Z) - Fermionic Matrix Product States and One-Dimensional Short-Range
Entangled Phases with Anti-Unitary Symmetries [0.0]
We extend the formalism of Matrix Product States to describe one-dimensional gapped systems of fermions with unitary and anti-unitary symmetries.
We also consider systems with orientation-reversing spatial symmetries.
arXiv Detail & Related papers (2017-09-30T02:46:22Z)
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.