Parafermion supporting platform based on spin transitions in the fractional quantum Hall effect regime
Tailung Wu, Aleksandr Kazakov, George Simion, Zhong Wan, Jingcheng, Liang, Kenneth W. West, Kirk Baldwin, Loren N. Pfeiffer, Yuli Lyanda-Geller,, and Leonid P. Rokhinson

TL;DR
This paper proposes a feasible system using spin transitions in the fractional quantum Hall regime to realize parafermions, with experimental and numerical evidence supporting the formation of necessary domain walls.
Contribution
It introduces a new platform based on spin transitions for parafermion realization, combining experimental design and numerical analysis.
Findings
Electrostatically induced spin transitions at filling factor 2/3 enable local control.
Formation of helical domain walls with fractionalized charge is demonstrated.
Numerical studies confirm the potential for parafermion formation when coupled to superconductors.
Abstract
We propose an experimentally-feasible system based on spin transitions in the fractional quantum Hall effect regime where parafermions, high-order non-abelian excitations, can be potentially realized. We provide a proof-of-concept experiments showing that in specially designed heterostructures spin transitions at a filling factor 2/3 can be induced electrostatically, allowing local control of polarization and on-demand formation of helical domain walls with fractionalized charge excitations, a pre-requisite ingredient for parafermions formation. We also present exact diagonalization numerical studies of domain walls formed between domains with different spin polarization in the fractional quantum Hall effect regime and show that they indeed possess electronic and magnetic structure needed for parafermion formation when coupled to an s-wave superconductor.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
