Data for 'Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs'
doi:10.4121/20402037.v1
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doi: 10.4121/20402037
doi: 10.4121/20402037
Datacite citation style:
Iñesta, Álvaro G.; Vardoyan, Gayane; Scavuzzo, Lara; Wehner, Stephanie (2022): Data for 'Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs'. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/20402037.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
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citations
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licence
MIT
This is the data corresponding to the paper 'Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs' (arXiv:2207.06533).
All data stored here is displayed and discussed in the paper.
The data is divided into four directories (stored here as four zip files), see README file for more information.
The (Python) code used to generate the data can be found in this GitHub repository: https://github.com/AlvaroGI/optimal-homogeneous-chain .
history
- 2022-08-09 first online, published, posted
publisher
4TU.ResearchData
format
zip files containing pickle and npy files (see README file for more information)
associated peer-reviewed publication
Optimal entanglement distribution policies in homogeneous repeater chains with cutoffs
references
funding
- NWO/OCW Frontiers of Nanoscience
- NWO ZK QSC Ada Lovelace Fellowship
- ERC Starting Grant
organizations
QuTech, Delft University of Technology
DATA
files (5)
- 3,498 bytesMD5:
1a81ad1be69b8da13ab815d361bcd869
README.md - 237,289 bytesMD5:
6c45017d4e277e23523616ceb7134e70
data_policyiter.zip - 3,586 bytesMD5:
8597bbd6f7b3117b0f8e15bfb19e6da7
data_sim.zip - 2,224,318 bytesMD5:
587a35a1527f93ed21bd1bf729a6bfab
data_swapasap.zip - 123,361,695 bytesMD5:
3fd5e089edc6598c3c38643c74f09c51
data_valueiter.zip -
download all files (zip)
125,830,386 bytes unzipped