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Superconducting networks with Josephson tunnel junctions exhibit unique properties. Embedded arrays show distinct Josephson supercurrents and gap parameters compared to reference arrays, indicating novel phenomena in these graph structures.

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Area of Science:

  • Condensed matter physics
  • Superconductivity
  • Quantum electronics

Background:

  • Josephson tunnel junctions are crucial for superconducting circuits.
  • Planar integrated networks offer unique architectures for studying quantum phenomena.
  • Understanding the behavior of Josephson junction arrays is key to advancing superconducting device technology.

Purpose of the Study:

  • To investigate the electromagnetic properties of superconducting island networks.
  • To compare the behavior of Josephson junction arrays embedded in graph structures with reference arrays.
  • To identify unique phenomena arising from the network topology.

Main Methods:

  • Fabrication of planar integrated networks with Josephson tunnel junctions.
  • Individual current biasing and characterization of series arrays of Josephson junctions.
  • Analysis of temperature and magnetic field dependencies of Josephson currents.
  • Measurement of gap parameters in embedded and reference arrays.

Main Results:

  • Embedded Josephson junction arrays displayed significantly different Josephson supercurrents and gap parameters compared to reference arrays.
  • A singular behavior in temperature and magnetic field dependencies of Josephson current was observed in embedded arrays at a critical Josephson characteristic energy.
  • The gap parameter of junctions in embedded arrays was found to be higher than in reference arrays.

Conclusions:

  • The topological arrangement of Josephson tunnel junctions in planar networks significantly influences their superconducting properties.
  • Embedded arrays exhibit distinct quantum phenomena not observed in simple reference structures.
  • These findings suggest potential for novel applications in superconducting electronics and quantum information processing.