001     1038340
005     20250203103328.0
024 7 _ |a 10.5281/ZENODO.10728282
|2 doi
037 _ _ |a FZJ-2025-01337
100 1 _ |a Janssen, Lucas Marten
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Magnetic-field dependence of a Josephson traveling-wave parametric amplifier and integration into a high-field setup - Data and figure generation
260 _ _ |c 2024
|b Zenodo
336 7 _ |a MISC
|2 BibTeX
336 7 _ |a Dataset
|b dataset
|m dataset
|0 PUB:(DE-HGF)32
|s 1738149536_13602
|2 PUB:(DE-HGF)
336 7 _ |a Chart or Table
|0 26
|2 EndNote
336 7 _ |a Dataset
|2 DataCite
336 7 _ |a DATA_SET
|2 ORCID
336 7 _ |a ResearchData
|2 DINI
520 _ _ |a This folder contains all data files and Jupyter notebooks needed to recreate the figures of our publication, 'Magnetic-field dependence of a Josephson traveling-wave parametric amplifier and integration into a high-field setup', written by L. M. Janssen, G. Butseraen, J. Krause, A. Coissard, L. Planat, N. Roch, G. Catelani, Yoichi Ando, and C. Dickel. Measurements were done with quantify-core (https://quantify-os.org/docs/quantify-core/) Required python packages are quantify-core (tested to run with 0.7.3) and all its dependencies, as well as cmcrameri (colormaps used for plots). Content:Data/ Contains the plotted measurement data used in the figures of the paper as CSV files Data/quantify_datasets/Contains a few quantify datasets (raw data format of quantify measurements) Figures/Contains all paper figures as .pdf files jupyter_notebooks/Contains the jupyter notebooks with the code that creates the figures including the relevant calculations and fits and the loading of the data quantify_analysis_classes/Contains two modules with quantify analysis classes
536 _ _ |a 5221 - Advanced Solid-State Qubits and Qubit Systems (POF4-522)
|0 G:(DE-HGF)POF4-5221
|c POF4-522
|f POF IV
|x 0
588 _ _ |a Dataset connected to DataCite
700 1 _ |a Butseraen, Guilliam
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Krause, Jonas
|0 P:(DE-HGF)0
|b 2
700 1 _ |a Coissard, Alexis
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Planat, Luca
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Roch, Nicolas
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Catelani, Gianluigi
|0 P:(DE-Juel1)151130
|b 6
|e Corresponding author
|u fzj
700 1 _ |a Ando, Yoichi
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Dickel, Christian
|0 P:(DE-HGF)0
|b 8
773 _ _ |a 10.5281/ZENODO.10728282
909 C O |o oai:juser.fz-juelich.de:1038340
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910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)151130
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
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|0 G:(DE-HGF)POF4-522
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
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|v Quantum Computing
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|x 0
914 1 _ |y 2024
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)PGI-11-20170113
|k PGI-11
|l JARA Institut Quanteninformation
|x 0
980 _ _ |a dataset
980 _ _ |a VDB
980 _ _ |a I:(DE-Juel1)PGI-11-20170113
980 _ _ |a UNRESTRICTED


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