Data needs and challenges for quantum dot devices automation

Kavli Affiliate: Eliska Greplova

| First 5 Authors: Justyna P. Zwolak, Jacob M. Taylor, Reed W. Andrews, Jared Benson, Garnett W. Bryant

| Summary:

Gate-defined quantum dots are a promising candidate system for realizing
scalable, coupled qubit systems and serving as a fundamental building block for
quantum computers. However, present-day quantum dot devices suffer from
imperfections that must be accounted for, which hinders the characterization,
tuning, and operation process. Moreover, with an increasing number of quantum
dot qubits, the relevant parameter space grows sufficiently to make heuristic
control infeasible. Thus, it is imperative that reliable and scalable
autonomous tuning approaches are developed. This meeting report outlines
current challenges in automating quantum dot device tuning and operation with a
particular focus on datasets, benchmarking, and standardization. We also
present insights and ideas put forward by the quantum dot community on how to
overcome them. We aim to provide guidance and inspiration to researchers
invested in automation efforts.

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