The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/33d97ca0-64be-496d-a440-218f376a9c4c

Stehouwer, Lucas; Yu, Cécile; Tosato, Alberto; John, Valentin; Elsayed, Asser et. al. (2024): Data and analysis accompanying the paper: 'Exploiting epitaxial strained germanium for scaling low noise spin qubits at the micron-scale' . Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/33d97ca0-64be-496d-a440-218f376a9c4c.v1

Dataset

• Condensed Matter Physics
• Nanotechnology
• Quantum Physics
• Physical Sciences
• Technology

charge noise, Ge/SiGe, germanium quantum dots, germanium wafer, hyperfine noise, spin qubit

CC BY 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Lucas Stehouwer , Cécile Yu , Alberto Tosato , Valentin John , Asser Elsayed , Davide Degli Esposti , Davide Costa , Stefan Oosterhout , Nico Hendrickx , Menno Veldhorst , Francesco Borsoi , Giordano Scappucci , Barnaby van Straaten

The data sets are provided for the analysis of the raw data and subsequent creation of the figures presented in the manuscript 'Exploiting epitaxial strained germanium for scaling low noise spin qubits at the micron-scale'. The data supports the characterisation of noise in a high-connectivity 10 spin-qubit array using a variety of experimental techniques. Using single-hole spin qubits as a probe of noise sources, we make the case for the need of full isotopic purification in the host environment.

• 2024-10-11 first online, published, posted

4TU.ResearchData

.png, .tif, .pdf, .spm, .py, .txt, .npy, .hdf5, .ai

QuTech and Kavli Institute of Nanoscience, Delft University of Technology