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/a4fce2ed-262f-4db9-866b-661c0e002671

Costa, Davide; Stehouwer, Lucas; Huang, Yi; Martí-Sanchez, Sara; Davide Degli Esposti et. al. (2024): Data Repository for "Reducing disorder in Ge quantum wells by using thick SiGe barriers". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a4fce2ed-262f-4db9-866b-661c0e002671.v1

Dataset

• Quantum Physics
• Physical Sciences

Ge/SiGe, Germanium Quantum Dots, Germanium Quantum Wells, Germanium Wafer, Percolation Density, Spin Qubits

CC0

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

by Davide Costa , Lucas Stehouwer , Yi Huang , Sara Martí-Sanchez , Davide Degli Esposti , Jordi Arbiol , Giordano Scappucci

Data Repository for the paper "Reducing disorder in Ge quantum wells by using thick SiGe barriers". The datasets are provided to recover each panel of the figures presented in the manuscript. The data support observed improvements in transport properties of the Ge quantum well when using thick Ge barriers. The datasets are the raw datasets taken from measurements. Python files are added that we used to analyze and plot the data.

• 2024-10-14 first online, published, posted

4TU.ResearchData

jpeg, hdf5, tiff, dat, txt

• https://arxiv.org/abs/2410.03256

QuTech and Kavli Institute of Nanoscience, Delft University of Technology