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Bulk and edge states in a three-site Kitaev chain

ORAL

Abstract

A chain of quantum dots (QDs) coupled via semiconductor-superconductor hybrid regions can form an artificial Kitaev chain hosting Majorana bound states (MBSs). These zero-energy states are expected to be localised on the edges of the chain, at the outermost QDs. The remaining QDs, comprising the bulk, are predicted to host an excitation gap that protects the MBSs at the edges from local on-site perturbations. We highlight this connection between the bulk and edges in a minimal system, a three-site Kitaev chain in a two-dimensional electron gas. Through direct tunnelling spectroscopy at each site, we show that the appearance of stable zero-bias conductance peaks at the outer QDs is correlated with the presence of an excitation gap in the middle QD. Furthermore, we show that this gap can be controlled by applying a superconducting phase difference between the two hybrid segments, and that the MBSs are robust only when the excitation gap is present. Lastly, control over all system parameters allows us to show close agreement to the Kitaev chain model in a large phase space beyond the sweet spots where localised MBSs arise.

Presenters

  • Sebastiaan Laurens Daniel ten Haaf

    Delft University of Technology

Authors

  • Sebastiaan Laurens Daniel ten Haaf

    Delft University of Technology

  • Yining Zhang

    Delft University of Technology

  • Qingzhen Wang

    Delft University of Technology

  • Alberto Bordin

    Delft University of Technology

  • Chun-Xiao Liu

    Delft University of Technology

  • Ivan Kulesh

    Delft University of Technology

  • Vincent Sietses

    Delft University of Technology

  • Christian Glenn Prosko

    Delft University of Technology

  • Di Xiao

    Purdue University

  • Candice Thomas

    CEA Grenoble, Purdue University, Univ. Grenoble Alpes, CEA, LETI, Grenoble, France

  • Michael James Manfra

    Purdue University

  • Michael Wimmer

    TU Delft

  • Srijit Goswami

    Delft University of Technology