Pith. sign in

REVIEW 1 cited by

Manifestation of edge-bulk incompatibility in fractional quantum Hall platform

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2311.09960 v2 pith:OEE2H63H submitted 2023-11-16 cond-mat.mes-hall cond-mat.str-el

classification cond-mat.mes-hallcond-mat.str-el
keywords boundarymodesincompatibilityphaseneutralbulkmzmsedge
verification ladder T0 review T1 audit T2 compute T3 formal

Signed reviews

No signed human review yet.

0 comments
abstract

The edges of a two-dimensional topological phase of matter serve as a platform underlying its low-energy dynamics. The topology of the bulk phase dictates the structure of the gapless modes. Proximitizing boundary modes to another boundary, may lead to gap opening at the edge. Subsequently, one may engineer different segments of the boundary with intrinsic incompatibility of gap-generating mechanisms ("edge-edge incompatibility"), facilitating the generation of topological excitations, e.g. Majorana zero modes (MZMs). Here we address the possibility of bulk-edge incompatibility, whereby the intrinsic bulk gap competes with a gap generated via boundary modes. Specifically, we consider two $\nu = 2/3$ fractional quantum Hall phases whose shared boundary modes are gapped out via disorder-generated tunneling across the boundary. A neutral superconducting phase, made up of neutral edge modes, is stabilized over a broad range of interaction parameters. This phase cannot coexist with the bulk gap. The resulting edge-bulk incompatibility gives rise to the emergence of MZMs (in the neutral sector). We propose an experimental setup to verify both the neutral superconductivity phase and the emergent MZMs.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Think, Prune, Train, Improve: Scaling Reasoning without Scaling Models

    cs.LG 2025-04 reject novelty 4.0 of 10

    Recursively fine-tuning language models on their own ground-truth-pruned reasoning traces improves GSM8K Pass@1, but the claimed GPT-4o-beating result rests on a nonstandard 500-question test subset.

Pith tools