Computer-automated tuning procedures for semiconductor quantum dot arrays

ORAL

Abstract

As with any quantum computing platform, semiconductor quantum dot devices require sophisticated hardware and controls for operation. The increasing complexity of quantum dot devices necessitates the advancement of automated data collection and control software. By automating the analysis of charge stability diagrams, we can easily create tools to tune charge occupancy and interdot tunnel couplings in our quantum dot arrays. We use an image analysis toolbox developed in Python to automate the calibration of virtual gates, a process that previously involved a large amount of user intervention. Moreover, we show that straightforward feedback protocols can be used to simultaneously tune multiple tunnel couplings in a triple quantum dot1.

[1] A.R. Mills et al., Appl. Phys. Lett. 115, 113501 (2019)

*Funded by Army Research Office grant W911NF-15-1-0149 and the Gordon and Betty Moore Foundation’s EPiQS Initiative through grant GBMF4535. Sandia National Labs is managed and operated by National Technology and Engineering Solutions of Sandia, LLC, a subsidiary of Honeywell International, Inc., for the U.S. Dept. of Energy’s National Nuclear Security Administration under contract DE-NA0003525. The views expressed here do not necessarily represent the views of the DOE or the U.S. Government.

Presenters

  • Adam Mills

    • Princeton University
    • Department of Physics, Princeton University, Princeton, New Jersey 08544, USA

Authors

  • Adam Mills

    • Princeton University
    • Department of Physics, Princeton University, Princeton, New Jersey 08544, USA
  • Mayer M Feldman

    • Princeton University
  • Cara Monical

    • Sandia National Laboratories
  • Phillip J Lewis

    • Sandia National Laboratories
  • Kurt W Larson

    • Sandia National Laboratories
  • Andrew M Mounce

    • Sandia National Laboratory
    • Sandia National Laboratories
  • Jason Petta

    • Physics, Princeton University
    • Princeton University
    • Department of Physics, Princeton University, Princeton, New Jersey 08544, USA