mlsanityData to 14 Oct 2026

Autonomous Bootstrapping of Quantum Dot Devices

arXiv 2407.20061 ↗First posted 29 Jul 2024cond-mat.mes-hall cs.ET cs.LGcited by 4

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Abstract (arXiv)

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.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 6 of its 34 references that are in the map. First posted on arXiv 29 Jul 2024.

Builds on

6 of 34 references.

References · 6

  1. 2020Machine learning enables completely automatic tuning of a quantum device faster than human expertscited by 23
  2. 2021Colloquium: Advances in automation of quantum dot devices controlcited by 18
  3. 2021Ray-based framework for state identification in quantum dot devicescited by 17
  4. 2022Tuning arrays with rays: Physics-informed tuning of quantum dot charge statescited by 16
  5. 2021Toward Robust Autotuning of Noisy Quantum Dot Devicescited by 13
  6. 2023Automated extraction of capacitive coupling for quantum dot systemscited by 11

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Citing papers per year: 2024: 2; 2025: 2.

4 papers.