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
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.ResearchDataFormat
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 cutoffsReferences
Funding
- NWO/OCW Frontiers of Nanoscience
- NWO ZK QSC Ada Lovelace Fellowship
- ERC Starting Grant
Organizations
QuTech, Delft University of TechnologyDATA
Files (5)
- 3,498 bytesMD5:
1a81ad1be69b8da13ab815d361bcd869README.md - 237,289 bytesMD5:
6c45017d4e277e23523616ceb7134e70data_policyiter.zip - 3,586 bytesMD5:
8597bbd6f7b3117b0f8e15bfb19e6da7data_sim.zip - 2,224,318 bytesMD5:
587a35a1527f93ed21bd1bf729a6bfabdata_swapasap.zip - 123,361,695 bytesMD5:
3fd5e089edc6598c3c38643c74f09c51data_valueiter.zip -
download all files (zip)
125,830,386 bytes unzipped





