Majorana edge reconstruction resolves the ν = 5/2 thermal Hall puzzle, study shows
A theoretical model explains why fractional quantum Hall state transport matches PH-Pfaffian observations without fine-tuning.

Physicists have proposed a theoretical mechanism to reconcile experimental thermal transport observations with numerical models of the fractional quantum Hall effect at filling factor ν = 5/2, according to Proceedings of the National Academy of Sciences doi.org
Proceedings of the National Academy of Sciencesdoi.orgOpen source ↗. Thermal Hall conductance κ at this plateau is quantized in half-integer multiples of κ 0 = π 2 k B 2 T / 3 h, signaling neutral Majorana edge modes associated with bulk non-Abelian anyons
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Proceedings of the National Academy of Sciencesdoi.orgOpen source ↗.
Previous experiments identified a half-integer value corresponding to the PH-Pfaffian topological state doi.org
Proceedings of the National Academy of Sciencesdoi.orgOpen source ↗. Numerical calculations, however, consistently favor either the Pfaffian or Anti-Pfaffian configurations, creating a persistent theoretical discrepancy
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Proceedings of the National Academy of Sciencesdoi.orgOpen source ↗. Previous attempts to bridge this gap either required precise parameter fine-tuning or were contradicted by subsequent measurements.
To resolve the contradiction, the researchers evaluated physically realistic edges using density-matrix renormalization group simulations combined with analytic calculations of the edge structure doi.org
Proceedings of the National Academy of Sciencesdoi.orgOpen source ↗. Their findings demonstrate that edge reconstruction confined strictly to the neutral Majorana sector screens the underlying bulk state
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Proceedings of the National Academy of Sciencesdoi.orgOpen source ↗. As a result, a bulk Pfaffian or Anti-Pfaffian system generates transport signatures identical to those of a PH-Pfaffian, providing a natural mechanism consistent with experimental data
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Proceedings of the National Academy of Sciencesdoi.orgOpen source ↗.



