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Compact SQUID Realized in a Double-Layer Graphene Heterostructure.

David I Indolese1, Paritosh Karnatak1, Artem Kononov1

  • 1Department of Physics, University of Basel, Klingelbergstrasse 82, CH-4056 Basel, Switzerland.

Nano Letters
|September 3, 2020
PubMed
Summary

We demonstrate a tunable graphene superconducting quantum interference device (SQUID) with high-transparency Josephson junctions. This system exhibits quantized conductance plateaus, paving the way for topological quantum computation.

Keywords:
Josephson junctionsSQUIDcurrent-phase relationgraphenehelical edge statesvan der Waals heterostructure

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Area of Science:

  • Condensed Matter Physics
  • Materials Science
  • Quantum Computing

Background:

  • Two-dimensional (2D) systems with 1D helical states are crucial for scalable topological quantum computation when interfaced with superconductors.
  • Graphene offers excellent electronic properties, van der Waals heterostructure versatility, and a unique 0th Landau level beneficial for such applications.

Purpose of the Study:

  • To investigate a compact double-layer graphene superconducting quantum interference device (SQUID).
  • To explore the tunability and superconducting properties of graphene Josephson junctions within a SQUID geometry.

Main Methods:

  • Fabrication and characterization of a double-layer graphene SQUID.
  • Independent gate control of chemical potentials in parallel graphene Josephson junctions.
  • Measurement of the current-phase relationship and conductance in the quantum Hall regime.

Main Results:

  • The graphene SQUID is fully tunable via independent gate control.
  • Josephson junctions exhibit a skewed current-phase relationship, signifying high-transparency superconducting modes.
  • A quantized conductance plateau of 2e²/h was observed in the quantum Hall regime, indicating counter-propagating edge channels.

Conclusions:

  • The compact graphene SQUID is a promising platform for exploring topological superconductivity.
  • The observed phenomena support the potential of graphene-based heterostructures for quantum information processing.