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.
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Presenters
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Mark A Johnson
Quantum Motion, University of New South Wales
Authors
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Mark A Johnson
Quantum Motion, University of New South Wales
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Domenic Prete
Quantum Motion
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Edward J Thomas
University College London, Quantum Motion
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Mathieu de Kruijf
University College London, Quantum Motion
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David Ibberson
Quantum Motion Technologies Ltd., Quantum Motion
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Jonathan Warren
Quantum Motion
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James Kirkman
Quantum Motion
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Grayson M Noah
Quantum Motion
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Alberto Gomez Saiz
Quantum Motion
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John Morton
University College London; Quantum Motion, University College London, Quantum Motion, University College London, Quantum Motion Technologies
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Fernando Gonzalez-Zalba
Quantum Motion, Quantum Motion Technologies Ltd., Quantum Motion Technologies