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Rapid characterisation of over 1000 silicon quantum dots

ORAL

Abstract



The management and quantification of variability associated with quantum device manufacturing is of primary importance to scale quantum computing systems. High-throughput characterization techniques are hence key to correlate aspects of the manufacturing process and device design with statistical evidence of device behaviour. Here, we demonstrate a fast characterisation methodology for silicon-based quantum dot devices, the physical host of spin qubits. We combine high-bandwidth radiofrequency reflectometry techniques with an integrated analogue cryogenic multiplexer to characterise quantum dots devices implemented on an industry standard silicon-on-insulator process. Our optimized approach allows measuring 1024 devices in less than 15 minutes at milliKelvin temperatures. Additionally, our automated parameter extraction routine allows establishing correlations with specific device geometries. Our methodology provides a rapid characterisation technique to assess quantum device variability as well as optimise manufacturing processes and designs.

Presenters

  • Mark A Johnson

    Quantum Motion, University of New South Wales

Authors

  • Mark A Johnson

    Quantum Motion, University of New South Wales

  • Domenic Prete

    Quantum Motion

  • Edward J Thomas

    University College London, Quantum Motion

  • Mathieu de Kruijf

    University College London, Quantum Motion

  • David Ibberson

    Quantum Motion Technologies Ltd., Quantum Motion

  • Jonathan Warren

    Quantum Motion

  • James Kirkman

    Quantum Motion

  • Grayson M Noah

    Quantum Motion

  • Alberto Gomez Saiz

    Quantum Motion

  • John Morton

    University College London; Quantum Motion, University College London, Quantum Motion, University College London, Quantum Motion Technologies

  • Fernando Gonzalez-Zalba

    Quantum Motion, Quantum Motion Technologies Ltd., Quantum Motion Technologies