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Data needs and challenges for quantum dot devices automation
npj Quantum Information ( IF 6.6 ) Pub Date : 2024-10-31 , DOI: 10.1038/s41534-024-00878-x
Justyna P. Zwolak, Jacob M. Taylor, Reed W. Andrews, Jared Benson, Garnett W. Bryant, Donovan Buterakos, Anasua Chatterjee, Sankar Das Sarma, Mark A. Eriksson, Eliška Greplová, Michael J. Gullans, Fabian Hader, Tyler J. Kovach, Pranav S. Mundada, Mick Ramsey, Torbjørn Rasmussen, Brandon Severin, Anthony Sigillito, Brennan Undseth, Brian Weber

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.

中文翻译:


量子点器件自动化的数据需求和挑战



门定义量子点是实现可扩展耦合量子比特系统并作为量子计算机的基本构建块的有前途的候选系统。然而,当今的量子点器件存在必须考虑的缺陷,这阻碍了表征、调整和操作过程。此外,随着量子点量子比特数量的增加,相关参数空间增长到足以使启发式控制变得不可行。因此,必须开发可靠且可扩展的自主调优方法。本会议报告概述了当前在自动化量子点器件调谐和操作方面面临的挑战,特别关注数据集、基准测试和标准化。我们还展示了量子点社区就如何克服这些问题提出的见解和想法。我们的目标是为投资于自动化工作的研究人员提供指导和启发。
更新日期:2024-10-31
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