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12 results for “quantum technologies”

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zenodo48/100

Supplementary Material for "Advancing quantum technology workforce: industry insights into qualification and training needs" and "Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles"

<p>This is a file collection as supplementary material for the paper <em>Advancing quantum technology workforce: industry insights into qualification and training needs, <a href="https://doi.org/10.1140/epjqt/s40507-024-00294-2">doi 10.1140/epjqt/s40507-024-00294-2</a>.</em> It consists of:</p> <ol> <li>Interview guide: questions and more as guideline for the interviews conducted for the industry needs analysis documented in the publication.</li> <li>Interview transcript extracts: anonymised phrases from the interviews that are given as quotes (in a shortened/liguistically smoothed out form) in the publication as well as further phrases that are refered in the results sections of the publication.</li> <li>Dataset of the follow-up survey</li> </ol> <p>The results of this study were also used to update the <a href="https://doi.org/10.5281/zenodo.10976836" target="_blank" rel="noopener">European Competence Framework for Quantum Technologies Version 2.5</a>, which is documented in <em>Extending the European Competence Framework for Quantum Technologies: new proficiency triangle and qualification profiles, <a href="https://doi.org/10.1140/epjqt/s40507-024-00302-5">doi 10.1140/epjqt/s40507-024-00302-5</a></em>. In an additional sheet, the three&nbsp;draft versions of qualification profile descriptions (v2.1, v2.2, v2.3) are provided.</p>

opencc-by-4.0Oct 2024View details →
zenodo44/100

Data of publication Controlled size reduction of rare earth doped nanoparticles for optical quantum technologies

<p>Data corresponding to the figures of the publication &quot;&nbsp;Controlled size reduction of rare earth doped nanoparticles for optical quantum technologies&quot; by S. Liu et al. (https://pubs.rsc.org/en/content/articlelanding/2018/ra/c8ra07246a#!divAbstract). A text file&nbsp;describes data&nbsp;in each compressed folder, please refer to the publication for more details.&nbsp;</p>

opencc-by-4.0Nov 2018View details →
zenodo44/100

Data of the publication Rare Earth‐Diamond Hybrid Structures for Optical Quantum Technologies

<p>Data of the publication published under the reference: I.G. Balașa et al., Advanced Optical Materials, 2401487 (2024).</p>

opencc-by-4.0Sep 2024View details →
zenodo40/100

Measured data of article "Superconducting NbN–Al hybrid technology for quantum devices"

<p>The folder contains raw data of figure 3 &amp; 4 as well as a preprint of the article:</p> <p><em>Superconducting NbN&ndash;Al hybrid technology&nbsp; for quantum devices</em></p> <p>Authors: E. Mutsenik, S. Linzen, E. Il&rsquo;ichev, M. Schmelz, M. Ziegler, V. Ripka, B. Steinbach, G. Oelsner, U. H&uuml;bner, and R. Stolz</p> <p>Journal: Low Temperature Physics/Fizyka Nyzkykh Temperatur, 2023, Vol. 49, No. 1, pp. 98&ndash;101</p>

opencc-by-4.0Jan 2023View details →
zenodo40/100

Data of paper Chemically vapor deposited Eu3+:Y2O3 thin films as a material platform for quantum technologies

<p>Data of the figures of the paper:</p> <p>N. Harada, A. Ferrier, D. Serrano, M. Persechino, E. Briand, R. Bachelet, I. Vickridge, J.-J. Ganem, P. Goldner, and A. Tallaire,&nbsp;<em>Chemically Vapor Deposited Eu 3+:Y 2O 3thin Films as a Material Platform for Quantum Technologies</em>, J. Appl. Phys.&nbsp;<strong>128</strong>, 055304 (2020). doi:&nbsp;<a href="https://doi.org/10.1063/5.0010833">10.1063/5.0010833</a></p> <p>&nbsp;</p>

opencc-by-4.0Apr 2022View details →
zenodo40/100

Data of paper Controlling the interfacial reactions and environment of rare-earth ions in thin oxide films towards wafer-scalable quantum technologies

<p>Data of the figures in the paper :</p> <p>N. Harada, A. Tallaire, D. Serrano, A. Seyeux, P. Marcus, X. Portier, C. Labb&eacute;, P. Goldner, and A. Ferrier,&nbsp;<em>Controlling the Interfacial Reactions and Environment of Rare-Earth Ions in Thin Oxide Films towards Wafer-Scalable Quantum Technologies</em>, Mater. Adv.&nbsp;<strong>3</strong>, 300 (2022). doi:&nbsp;10.1039/D1MA00753J</p>

opencc-by-4.0Apr 2022View details →
zenodo40/100

Dataset for "Engineering defect clustering in diamond-based materials for technological applications via quantum mechanical descriptors"

<p>The unique set of extreme physical properties makes diamond an ideal candidate for applications in the energy industry such as in high-power and high-frequency electronics as well as in electrochemistry and photovoltaics. Furthermore, dopant-vacancy complexes in diamond can be exploited for further development of quantum computers, single-photon emitters, high-precision magnetic field sensing and nanophotonic devices. While certain dopant-vacancy complexes are well-studied, studies of other dopant/vacancy clusters are focused mostly on defect detection while investigations on how to tune their electronic and optical properties for specific applications is mostly omitted. To this aim, we attempted to reveal coupled structural-electronic features and their effect on the band gap of such defects through first principle calculations. We investigated four different defect types: a) dopant-vacancy complexes (X-V), b) two dopants as nearest neighbours (X-X), c) two dopants separated by one carbon atom (X-C-X) and d) two dopants separated by a vacancy (X-V-X). For each of these configurations, we considered Al, B, N, P and Si as dopant atoms. This dataset contains input files needed to reproduce every ground state geometry used in our study.</p>

opencc-by-4.0Jun 2024View details →
zenodo40/100

Data set of Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical Properties for Quantum Technologies

<p>Data corresponding to the figures of the publication &quot; Ultrathin Eu- and Er-Doped Y2O3 Films with Optimized Optical<br> Properties for Quantum Technologies&nbsp;&quot; by M. Scarafagio et al.&nbsp;J. Phys. Chem. C 2019, 123, 13354-13364<br> (<a href="https://doi.org/10.1021/acs.jpcc.9b02597">https://doi.org/10.1021/acs.jpcc.9b02597</a>). A text file&nbsp;describes data&nbsp;in each compressed folder, please refer to the caption in the publication for more details.&nbsp;</p>

opencc-by-4.0Dec 2018View details →
zenodo40/100

A self-referenced optical phase noise analyzer for quantum technologies

<p>Raw data used to create plots accompanying the publication. Includes time traces from mixed-domain oscilloscope for COSH analysis as well as pre-processed data directly from commercial phase noise analyzer. Includes README.txt for notes on format and processing.</p>

opencc-by-4.0Oct 2023View details →
zenodo36/100

Role of Quantum Computing in Shaping the Future of 6G Technology

<p>The dataset is provided for the data collected to understand the role of quantum cmputing in shaping the future of 6G technology. The dataset consist of all the raw data and analysed results with respect to the research questions.</p>

opencc-by-4.0Mar 2024View details →
zenodo32/100

Dataset: Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies

<p>Dataset for the following paper: <a href="https://arxiv.org/abs/2405.04401">"Data augmentation experiments with style-based quantum generative adversarial networks on trapped-ion and superconducting-qubit technologies", Julien Baglio, arXiv:2405.04401</a></p> <p>It contains:</p> <ul> <li>one folder named "data_for_all_plots" containing the raw data for the s, t, and y distributions for all the figures of the paper as well as a Jupyter notebook to generate the figures.</li> <li>one file named "variance_calculations_qGAN.txt" containing the data to calculate the errors for the KL divergences.</li> </ul>

opencc-by-4.0May 2024View details →
zenodo32/100

Chirality-Induced Spin Selectivity: An Enabling Technology for Quantum Applications. Open data set

<p>Data supporting the original figures 5, 6&nbsp;and 7&nbsp;of the related publication.</p>

opencc-by-4.0May 2023View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record