Vortex control in superconducting Corbino geometry networks

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Autoren

  • T. Okugawa
  • S. Park
  • P. Recher
  • D. M. Kennes

Externe Organisationen

  • Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)
  • Universidad Autónoma de Madrid (UAM)
  • Technische Universität Braunschweig
  • Max-Planck-Institut für Struktur und Dynamik der Materie
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Aufsatznummer024501
FachzeitschriftPhysical Review B
Jahrgang106
Ausgabenummer2
PublikationsstatusVeröffentlicht - 1 Juli 2022
Extern publiziertJa

Abstract

In superconductors, vortices induced by a magnetic field are nucleated where some random fluctuations determine the nucleation position, and then may be pinned by impurities or boundaries, impeding the development of vortex-based quantum devices. Here, we propose a superconducting structure, which allows to nucleate and control vortices on-demand by controlling magnetic fields and currents. Using time-dependent Ginzburg-Landau theory, we study a driven vortex motion in two-dimensional Corbino geometries of superconductor-normal metal-superconductor Josephson junctions. We remedy the randomness of nucleation by introducing normal conducting rails to the Corbino disk to guide the nucleation process and motion of vortices towards the junction. We elaborate on the consequences of rail-vortex and vortex-vortex interactions to the quantization of resistance across the junction. Finally, we simulate the nucleations and manipulations of two and four vortices in Corbino networks, and discuss its application to Majorana zero mode braiding operations. Our study provides a potential route towards quantum computation with non-Abelian anyons.

ASJC Scopus Sachgebiete

Zitieren

Vortex control in superconducting Corbino geometry networks. / Okugawa, T.; Park, S.; Recher, P. et al.
in: Physical Review B, Jahrgang 106, Nr. 2, 024501, 01.07.2022.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Okugawa T, Park S, Recher P, Kennes DM. Vortex control in superconducting Corbino geometry networks. Physical Review B. 2022 Jul 1;106(2):024501. doi: 10.1103/PhysRevB.106.024501, 10.1103/PhysRevB.106.024501
Okugawa, T. ; Park, S. ; Recher, P. et al. / Vortex control in superconducting Corbino geometry networks. in: Physical Review B. 2022 ; Jahrgang 106, Nr. 2.
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title = "Vortex control in superconducting Corbino geometry networks",
abstract = "In superconductors, vortices induced by a magnetic field are nucleated where some random fluctuations determine the nucleation position, and then may be pinned by impurities or boundaries, impeding the development of vortex-based quantum devices. Here, we propose a superconducting structure, which allows to nucleate and control vortices on-demand by controlling magnetic fields and currents. Using time-dependent Ginzburg-Landau theory, we study a driven vortex motion in two-dimensional Corbino geometries of superconductor-normal metal-superconductor Josephson junctions. We remedy the randomness of nucleation by introducing normal conducting rails to the Corbino disk to guide the nucleation process and motion of vortices towards the junction. We elaborate on the consequences of rail-vortex and vortex-vortex interactions to the quantization of resistance across the junction. Finally, we simulate the nucleations and manipulations of two and four vortices in Corbino networks, and discuss its application to Majorana zero mode braiding operations. Our study provides a potential route towards quantum computation with non-Abelian anyons.",
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AU - Okugawa, T.

AU - Park, S.

AU - Recher, P.

AU - Kennes, D. M.

N1 - Funding Information: This work was supported by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) via RTG 1995 and Germany's Excellence Strategy - Cluster of Excellence Matter and Light for Quantum Computing (ML4Q) EXC 2004/1 - 390534769 as well as via Germany's Excellence Strategy-EXC-2123 QuantumFrontiers-390837967. Simulations were performed with computing resources granted by RWTH Aachen University under Project No. rwth0601 and rwth0507.

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