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Zubchenko, Anton ; Middlebrooks, Danielle ; Rasmussen, Torbjørn ; Lausen, Lara ; Kuemmeth, Ferdinand ; Chatterjee, Anasua ; Zwolak, Justyna P.

Autonomous bootstrapping of quantum dot devices

Zubchenko, Anton, Middlebrooks, Danielle, Rasmussen, Torbjørn, Lausen, Lara, Kuemmeth, Ferdinand , Chatterjee, Anasua and Zwolak, Justyna P. (2025) Autonomous bootstrapping of quantum dot devices. Physical Review Applied 23, 014072.

Date of publication of this fulltext: 10 Apr 2026 05:20
Article
DOI to cite this document: 10.5283/epub.79205


Abstract

Semiconductor quantum dots (QDs) are a promising platform for multiple different qubit implementations, all of which are voltage controlled by programmable gate electrodes. However, as the QD arrays grow in size and complexity, tuning procedures that can fully autonomously handle the increasing number of control parameters are becoming essential for enabling scalability. We propose a ...

Semiconductor quantum dots (QDs) are a promising platform for multiple different qubit implementations, all of which are voltage controlled by programmable gate electrodes. However, as the QD arrays grow in size and complexity, tuning procedures that can fully autonomously handle the increasing number of control parameters are becoming essential for enabling scalability. We propose a bootstrapping algorithm for initializing a depletion-mode QD device in preparation for subsequent phases of tuning. During bootstrapping, the QD device functionality is validated, all gates are characterized, and the QD charge sensor is made operational. We demonstrate the bootstrapping protocol in conjunction with a coarse-tuning module, showing that the combined algorithm can efficiently and reliably take a cooled-down QD device to a desired global-state configuration in under 8 min, with a success rate of 96%. Finally, by following heuristic approaches to QD device initialization and combining the efficient ray-based measurement with the rapid radio-frequency reflectometry measurements, the proposed algorithm establishes a reference in terms of performance, reliability, and efficiency against which alternative algorithms can be benchmarked.



Involved Institutions


Details

Item typeArticle
Journal or Publication TitlePhysical Review Applied
Publisher:American Physical Society (APS)
Volume:23
Page Range:014072
Date28 January 2025
InstitutionsPhysics > Institute of Experimental and Applied Physics
Identification Number
ValueType
10.1103/PhysRevApplied.23.014072DOI
2407.20061arXiv ID
Dewey Decimal Classification500 Science > 530 Physics
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgPartially
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-792058
Item ID79205

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