Data Needs and Challenges of Quantum Dot Devices Automation: Workshop Report

TitleData Needs and Challenges of Quantum Dot Devices Automation: Workshop Report
Publication TypeReport
Year of Publication2023
AuthorsZwolak, JP, Taylor, JM, Andrews, R, Benson, J, Bryant, G, Buterakos, D, Chatterjee, A, Sarma, SDas, Eriksson, MA, Greplová, E, Gullans, MJ, Hader, F, Kovach, TJ, Mundada, PS, Ramsey, M, Rasmussen, T, Severin, B, Sigillito, A, Undseth, B, Weber, B
Date Published12/21/2023
Abstract

Gate-defined quantum dots are a promising candidate system to realize scalable, coupled qubit systems and serve 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. In this report, we outline current challenges in automating quantum dot device tuning and operation with a particular focus on datasets, benchmarking, and standardization. We also present ideas put forward by the quantum dot community on how to overcome them.

URLhttps://arxiv.org/abs/2312.14322
DOI10.48550/arXiv.2312.14322