4.7 Article

Fractionalizing Majorana Fermions: Non-Abelian Statistics on the Edges of Abelian Quantum Hall States

Journal

PHYSICAL REVIEW X
Volume 2, Issue 4, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevX.2.041002

Keywords

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Funding

  1. National Science Foundation [DMR-0757145, DMR-0705472, 1066293]
  2. US-Israel Binational Science Foundation
  3. Minerva Foundation
  4. Microsoft Station Q
  5. Institute for Quantum Information and Matter, an NSF Physics Frontiers Center
  6. Gordon and Betty Moore Foundation
  7. DARPA
  8. David and Lucile Packard Foundation
  9. Direct For Mathematical & Physical Scien
  10. Division Of Physics [0803371] Funding Source: National Science Foundation
  11. Direct For Mathematical & Physical Scien
  12. Division Of Physics [1125565] Funding Source: National Science Foundation

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We study the non-Abelian statistics characterizing systems where counterpropagating gapless modes on the edges of fractional quantum Hall states are gapped by proximity coupling to superconductors and ferromagnets. The most transparent example is that of a fractional quantum spin Hall state, in which electrons of one spin direction occupy a fractional quantum Hall state of nu = 1/m, while electrons of the opposite spin occupy a similar state with nu = -1/m. However, we also propose other examples of such systems, which are easier to realize experimentally. We find that each interface between a region on the edge coupled to a superconductor and a region coupled to a ferromagnet corresponds to a non-Abelian anyon of quantum dimension root 2m. We calculate the unitary transformations that are associated with the braiding of these anyons, and we show that they are able to realize a richer set of non-Abelian representations of the braid group than the set realized by non-Abelian anyons based on Majorana fermions. We carry out this calculation both explicitly and by applying general considerations. Finally, we show that topological manipulations with these anyons cannot realize universal quantum computation.

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