Nonabelian Anyon Condensation in 2+1d topological orders: A String-Net Model Realization
Yu Zhao, Yidun Wan

TL;DR
This paper introduces a detailed string-net model framework for realizing and classifying bosonic anyon condensation in 2+1D topological orders, providing a microscopic and computational approach.
Contribution
It develops a Hamiltonian-based method to realize and classify all bosonic anyon condensations within string-net models, offering a microscopic and algorithmic perspective.
Findings
Classifies all bosonic anyon condensations in string-net models
Constructs Hamiltonians bridging parent and child topological orders
Provides algorithms for calculating categorical data of anyon condensation
Abstract
We develop a comprehensive framework for realizing anyon condensation of topological orders within the string-net model by constructing a Hamiltonian that bridges the parent string-net model before and the child string-net model after anyon condensation. Our approach classifies all possible types of bosonic anyon condensation in any parent string-net model and identifies the basic degrees of freedom in the corresponding child models. Compared with the traditional UMTC perspective of topological orders, our method offers a finer categorical description of anyon condensation at the microscopic level. We also explicitly represent relevant UMTC categorical entities characterizing anyon condensation through our model-based physical quantities, providing practical algorithms for calculating these categorical data.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Network Analysis Techniques
