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Topological Characterization of Fractional Quantum Hall Ground States from Microscopic Hamiltonians

Open access
Zaletel, Michael P., Mong, Roger S. K., Pollmann, Frank·2013·Physical Review Letters

Abstract

We show how to numerically calculate several quantities that characterize topological order starting from a microscopic fractional quantum Hall Hamiltonian. To find the set of degenerate ground states, we employ the infinite density matrix renormalization group method based on the matrix-product state representation of fractional quantum Hall states on an infinite cylinder. To study localized quasiparticles of a chosen topological charge, we use pairs of degenerate ground states as boundary conditions for the infinite density matrix renormalization group. We then show that the wave function obtained on the infinite cylinder geometry can be adapted to a torus of arbitrary modular parameter, which allows us to explicitly calculate the non-Abelian Berry connection associated with the modular T transformation. As a result, the quantum dimensions, topological spins, quasiparticle charges, chiral central charge, and Hall viscosity of the phase can be obtained using data contained entirely in the entanglement spectrum of an infinite cylinder.

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Metadata

Authors
Zaletel, M. P., Mong, R. S. K., & Pollmann, F.
Venue
Physical Review Letters
Published
2013-06-04
Volume
110
Issue
23
Pages
236801-236801
ISSN
  • 0031-9007 (ISSN-L)
  • 1079-7114
OpenAlex
W2077553792
Cited by
225
References
5
FWCI
11.82
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Topological Characterization of Fractional Quantum Hall Ground States from Microscopic Hamiltonians. https://app.cochat.ai/papers/10.1103/physrevlett.110.236801
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Zaletel, M. P., Mong, R. S. K., & Pollmann, F. (2013). Topological Characterization of Fractional Quantum Hall Ground States from Microscopic Hamiltonians. Physical Review Letters. https://doi.org/10.1103/physrevlett.110.236801

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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