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Probing topological protection using a designer surface plasmon structure.

Fei Gao1, Zhen Gao1, Xihang Shi1

  • 1Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 637371, Singapore.

Nature Communications
|May 21, 2016
PubMed
Summary

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This summary is machine-generated.

Researchers explored topological photonic states in a novel surface plasmon platform. They demonstrated robustness against defects not found in electronic systems, realizing anomalous Floquet topological edge states.

Area of Science:

  • Photonics
  • Condensed Matter Physics
  • Materials Science

Background:

  • Topological photonic states are inspired by topological insulators.
  • Existing photonic systems show limited robustness compared to electronic topological insulators.
  • Photonic systems lack robustness against certain time-reversal-invariant defects.

Purpose of the Study:

  • To construct and probe photonic topological edge states in a designer surface plasmon platform.
  • To investigate the robustness of these states against novel defect classes.
  • To experimentally realize anomalous Floquet topological edge states.

Main Methods:

  • Utilizing a designer surface plasmon platform with tunable metallic sub-wavelength structures.
  • Constructing photonic topological edge states.

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  • Testing robustness against various defect types, including unique photonic ones.
  • Main Results:

    • Successfully constructed photonic topological edge states.
    • Demonstrated robustness against specific time-reversal-invariant photonic defects.
    • Experimentally realized anomalous Floquet topological edge states.

    Conclusions:

    • The surface plasmon platform offers a new avenue for studying topological photonics.
    • Photonic topological states exhibit unique behaviors and vulnerabilities compared to electronic systems.
    • Anomalous Floquet topological edge states expand the understanding of topological phases beyond conventional invariants.