Consistent simulation of quantum devices incorporating GaAs/AlGaAs heterostructures

ORAL

Abstract

In quantum nanoelectronics and quantum information devices, electrostatic gates control the density of the electrons and the state of the qubits1. In order to reliably predict the device characteristics, a consistent simulation method is required. In this work, a simulation model was created, that is able to self-consistently calculate the density of electrons aggregated at the interface of a GaAs/AlGaAs heterostructure by solving the Poisson and Schrödinger equations iteratively. The model was benchmarked with experimentally measured Quantum Point Contacts (QPC) of up to 27 different shapes. By solving the 3D problem, we were able to simulate the voltages at which the quantum channels become depleted as a function of the QPC shape to a very good accuracy. The variables that define the problem were captured in a minimal model, that can be used to predict the values of the parameters used in the simulation from basic wafer characteristics.

1. Bäuerle, C., Christian Glattli, D., Meunier, T., Portier, F., Roche, P., Roulleau, P., Takada, S., & Waintal, X. (2018). Coherent control of single electrons: A review of current progress. Reports on Progress in Physics, 81(5).

*This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 840550.

Publication: (Planned paper) On the predictive power of nanoelectronics simulations: An approach with a large experimental data set

Presenters

  • Eleni Chatzikyriakou

    • PHELIQS, Université Grenoble Alpes, CEA, Grenoble INP, IRIG, Grenoble 38000, France

Authors

  • Eleni Chatzikyriakou

    • PHELIQS, Université Grenoble Alpes, CEA, Grenoble INP, IRIG, Grenoble 38000, France
  • Junliang Wang

    • Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, 25 rue des Martyrs, 38000 Grenoble, France
  • Maria Cecilia da Silva Figueira

    • nextnano GmbH, Konrad-Zuse-Platz 8, 81829 München, Germany
  • Thomas Grange

    • nextnano Lab, 12 chemin des prunelles, 38700 Corenc, France
  • Antonio Lacerda Santos Neto

    • PHELIQS, Université Grenoble Alpes, CEA, Grenoble INP, IRIG, Grenoble 38000, France
  • Alex Trellakis

    • nextnano GmbH, Konrad-Zuse-Platz 8, 81829 München, Germany
  • Christopher Bäuerle

    • Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, 38000 Grenoble, France
    • Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, 25 rue des Martyrs, 38000 Grenoble, France
    • Univ. Grenoble Alpes, CNRS, Grenoble INP, Institut Néel, Grenoble, France
  • Xavier Waintal

    • Université Grenoble Alpes, CEA, IRIG-PHELIQS, 38000 Grenoble, France
    • PHELIQS, Université Grenoble Alpes, CEA, Grenoble INP, IRIG, Grenoble 38000, France