Capacitively-coupled quantum dots in commercial 22FDX® linear qubit arrays

ORAL

Abstract

Several groups worldwide have been working with the GlobalFoundriesTM industry-leading 22FDX® (22nm FDSOI) platform to design and demonstrate quantum dot (QD) feasibility and push FDSOI (Fully Depleted Silicon-On-Insulator) qubits to the next stage of commercialization. In this work we take a rigorous approach to studying 22FDX® and use effective carrier mobility as a figure of merit to screen six potential processes of reference from GlobalFoundriesTM. Having commissioned wafers with in-die process splits along with integrated test structures and qubit arrays, we study the effects of front-gate metal, front-gate equivalent oxide thickness, back bias, and temperature on the effective mobility of MOSFETs. With confirmation from both experiment and simulation, we identify the most promising qubit process split and leverage this information to couple QDs both along the length and width of the Si channel within linear (1xN) and bi-linear (2xN) arrays, respectively. For both array types, we present stability diagrams with clear honeycomb patterns that exhibit zero spurious elements such as those due to dopants or defects. Together, this systematic study provides insights into potential technology optimization, showing the necessity of pre-screening protocols as well as the advantages of leveraging forward back bias in a 22FDX® qubit platform.

*This work was supported in by the European Research Council (ERC) Synergy QuCube (grant number 810504), MCSQUARE (grant number 101136414), and the French National Research Agency under the program "France 2030" (PEPR PRESQUILE - ANR-22-PETQ-0002)

Publication: IEEE TED manuscript in prep.

Presenters

  • Giselle Elbaz

    • Quobly

Authors

  • Giselle Elbaz

    • Quobly
  • Pierre-Louis Julliard

    • Quobly
  • Mikaël Cassé

    • Université Grenoble Alpes, CEA-Leti, Grenoble
  • Mathilde Ouvrier-Buffet

    • Institut Néel, CNRS, Grenoble
  • Heimanu Niebojewski

    • CEA LETI Grenoble
    • Université Grenoble Alpes, CEA-Leti, Grenoble
    • CEA grenoble
    • CEA Grenoble
  • Benoit Bertrand

    • CEA LETI Grenoble
    • Université Grenoble Alpes, CEA-Leti, Grenoble
    • CEA grenoble
    • CEA Grenoble
  • Grégoire Roussely

    • CEA Grenoble
  • Valentin Labracherie

    • CEA Grenoble
  • Maud Vinet

    • Quobly
  • Tristan Meunier

    • CNRS,Institut Néel, Université Grenoble Alpes
    • Quobly & Institut Néel, CNRS
  • Bruna Cardoso-Paz

    • Quobly