Reducing orthotropic strain fluctuations in quantum dot devices by gate-layer stacking

ORAL

Abstract

Strain-induced fluctuations in the potential energy landscape can interfere with the electrostatic confinement of silicon quantum dots. These meV-scale variations may cause unintentional quantum dots or alter exchange interactions between neighboring qubits. More broadly, the interplay between material properties, oxide thickness, and gate-stack design can create counterintuitive strain profiles—for instance, thicker oxides between closely spaced gates can amplify short-range potential fluctuations. Understanding and mitigating these effects is therefore essential for scalability.

In this work, we present simulations showing that careful engineering can suppress such fluctuations. We study strain-induced energy variations in Si/SiGe heterostructures arising from (i) lattice mismatch, (ii) materials-dependent thermal contraction, and (iii) depositional stress in the metal gates. Simulations across a range of gate geometries show that optimizing gate and oxide thicknesses can minimize strain-induced energy fluctuations.

In this work, we model the heterostructure using an orthotropic elastic tensor rather than the commonly assumed isotropic one, finding up to 21.7% differences in strain fields, indicating the need for orthotropic models in accurate device simulations.

Publication: Collin C. D. Frink, Talise Oh, E. S. Joseph, Merritt P. Losert, E. R. MacQuarrie, Benjamin D. Woods, M. A. Eriksson, Mark Friesen, Reducing strain fluctuations in quantum dot devices by gate-layer stacking (2025), arXiv:2312.09235v3 [cond-mat.mes-hall]

Presenters

  • Talise Oh

    • University of Wisconsin-Madison

Authors

  • Talise Oh

    • University of Wisconsin-Madison
  • Collin Frink

    • University of Wisconsin-Madison
    • University of Wisconsin - Madison
  • Emily S Joseph

    • University of Wisconsin - Madison
  • Merritt P Losert

    • University of Wisconsin-Madison
    • National Institute of Standards and Technology (NIST)
    • NIST
  • Evan R MacQuarrie

    • University of Wisconsin-Madison
    • Photonic
  • Benjamin D Woods

    • University of Wisconsin - Madison
  • Mark A Eriksson

    • University of Wisconsin-Madison
    • University of Wisconsin - Madison
  • Mark Friesen

    • University of Wisconsin-Madison
    • University of Wisconsin - Madison