Revealing the Origin and Nature of the Buried Metal-Substrate Interface Layer in Ta/Sapphire Superconducting Films

ORAL

Abstract

Despite constituting a smaller fraction of the qubit’s electromagnetic mode, surfaces and interfaces can exert significant influence as sources of high-loss tangents, which brings forward the need to reveal properties of these extended defects and identify routes to their control. Here, we examine the structure and composition of the metal-substrate interfacial layer that exists in Ta/sapphire based superconducting films. Synchrotron-based X-ray reflectivity measurements of Ta films, commonly used in these qubits, reveal an unexplored interface layer at the metal-substrate interface. Scanning transmission electron microscopy and core-level electron energy loss spectroscopy identified an approximately 0.65 nm ± 0.05 nm thick intermixing layer at the metal substrate interface containing Al, O, and Ta atoms. Density functional theory (DFT) modeling reveals that the structure and properties of the Ta/sapphire heterojunctions are determined by the oxygen content on the sapphire surface prior to Ta deposition, as discussed for the limiting cases of Ta films on the O-rich versus Al-rich Al2O3 (0001) surface. By using a multimodal approach, integrating various material characterization techniques and DFT modeling, we have gained deeper insights into the interface layer between the metal and substrate. This intermixing at the metal-substrate interface influences their thermodynamic stability and electronic behavior, which may affect qubit performance.

*This project received support from the U.S. Department of Energy, Co-design Center for Quantum Advantage (C2QA), under contract No.DE-SC0012704. The research used synchrotron X-ray resources of the National Light Source II; a U.S. DOE Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under contract No.DE-SC0012704. Computational modeling at the Pacific Northwest National Laboratory was supported by C2QA (BES, PNNL FWP 76274). This research used resources of the National Energy Research Scientific Computing Center; a DOE Office of Science User Facility supported by the Office of Science of the U.S. DOE under Contract No.DE-AC02-05CH11231 using NERSC award BES-ERCAP0028497.

Publication: https://arxiv.org/abs/2409.10780

Presenters

  • Aswin kumar Anbalagan

    • Brookhaven National Laboratory

Authors

  • Aswin kumar Anbalagan

    • Brookhaven National Laboratory
  • Rebecca Cummings

    • Brookhaven National Laboratory
  • Chenyu Zhou

    • Brookhaven National Laboratory (BNL)
  • Junsik Mun

    • Brookhaven National Laboratory
  • Vesna Stanic

    • IBM T. J. Watson Research Center
    • IBM Thomas J. Watson Research Center
  • Jean-Jordan Sweet

    • IBM T. J. Watson Research Center
  • Juntao Yao

    • Stony Brook University
    • Stony Brook University (SUNY)
  • Kim Kisslinger

    • Brookhaven National Lab
    • Brookhaven National Laboratory
    • Brookhaven National Laboratory (BNL)
    • Center for Functional Nanomaterial
  • Conan Weiland

    • National Institute of Standards and Technology
    • Brookhaven National Laboratory
    • Material Measurement Laboratory, National Institute of Standard and Technology
  • Dmytro Nykypanchuk

    • Brookhaven National Laboratory
  • Steven L Hulbert

    • Brookhaven National Laboratory (BNL)
  • Qiang Li

    • Stony Brook University (SUNY)
  • Yimei Zhu

    • Brookhaven National Laboratory (BNL)
  • Mingzhao Liu

    • Brookhaven National Laboratory
  • Peter V Sushko

    • Pacific Northwest National Laboratory (PNNL)
  • Andrew L Walter

    • Brookhaven National Laboratory (BNL)
  • Andi M Barbour

    • Brookhaven National Laboratory