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Universal Wave-Function Overlap and Universal Topological Data from Generic Gapped Ground States.

Heidar Moradi1, Xiao-Gang Wen1,2

  • 1Perimeter Institute for Theoretical Physics, Waterloo, Ontario N2L 2Y5, Canada.

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|August 1, 2015
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Summary
This summary is machine-generated.

We introduce a universal method to extract topological data from gapped quantum systems. This approach, wave-function overlap, offers a powerful and efficient alternative for characterizing topological orders.

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Area of Science:

  • Condensed Matter Physics
  • Quantum Information Theory
  • Topological Quantum Matter

Background:

  • Topological orders characterize exotic phases of matter with unique properties.
  • Existing methods like topological entanglement entropy have limitations in scope and efficiency.
  • Characterizing topological orders in various dimensions and boundary conditions remains a challenge.

Purpose of the Study:

  • To develop a universal method for extracting topological data from generic ground states of gapped quantum systems.
  • To demonstrate that these extracted data can fully characterize topological orders, including those with gapped or gapless boundaries.
  • To provide a more powerful and numerically efficient alternative to existing methods.

Main Methods:

  • The proposed method utilizes wave-function overlaps of ground states.
  • For (2+1)D nonchiral topological orders, the data form matrices S and T generating a projective representation of SL(2,Z).
  • For higher dimensions with gapped boundaries, the data form a projective representation of the mapping class group MCG(M^d).

Main Results:

  • Universal topological data are extracted from generic ground states of gapped systems in any dimension.
  • These data fully characterize topological orders with gapped or gapless boundaries.
  • The extracted quantities are protected to all orders in perturbation theory for 2D models.

Conclusions:

  • Wave-function overlap provides a universal and powerful tool for topological quantum matter research.
  • This method surpasses topological entanglement entropy in both power and numerical efficiency.
  • The approach facilitates a deeper understanding and characterization of topological orders across different dimensions and boundary conditions.