4.6 Article

One-dimensional 2n-root topological insulators and superconductors

期刊

PHYSICAL REVIEW B
卷 103, 期 23, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevB.103.235425

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资金

  1. Portuguese Institute for Nanostructures, Nanomodelling and Nanofabrication (i3N) projects [UIDB/50025/2020, UIDP/50025/2020]
  2. FCT - Portuguese Foundation for Science and Technology [PTDC/FIS-MAC/29291/2017]
  3. FCT [SFRH/BD/150640/2020, CDL-CTTRI-147-ARH/2018]
  4. Fundação para a Ciência e a Tecnologia [SFRH/BD/150640/2020] Funding Source: FCT

向作者/读者索取更多资源

Square-root topology is a newly emerged subfield that describes a class of insulators and superconductors whose topological nature is only revealed after squaring their Hamiltonians. The concept can be generalized to 2(n)-root topological insulators and superconductors, with n as any positive integer, with their construction rules systematized. This work opens the way for extending 2(n)-root topology to higher-dimensional systems.
Square-root topology is a recently emerged subfield describing a class of insulators and superconductors whose topological nature is only revealed upon squaring their Hamiltonians, i.e., the finite energy edge states of the starting square-root model inherit their topological features from the zero-energy edge states of a known topological insulator/superconductor present in the squared model. Focusing on one-dimensional models, we show how this concept can be generalized to 2(n)-root topological insulators and superconductors, with n any positive integer, whose rules of construction are systematized here. Borrowing from graph theory, we introduce the concept of arborescence of 2(n)-root topological insulators/superconductors which connects the Hamiltonian of the starting model for any n through a series of squaring operations followed by constant energy shifts to the Hamiltonian of the known topological insulator/superconductor, identified as the source of its topological features. Our work paves the way for an extension of 2(n)-root topology to higher-dimensional systems.

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