Data for 'Performance metrics for the continuous distribution of entanglement in multi-user quantum networks'

doi:10.4121/75ccbe86-76dd-4188-8c34-f6e012b1373a.v1
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: 10.4121/75ccbe86-76dd-4188-8c34-f6e012b1373a
Datacite citation style:
Iñesta, Álvaro G.; Wehner, Stephanie (2023): Data for 'Performance metrics for the continuous distribution of entanglement in multi-user quantum networks'. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/75ccbe86-76dd-4188-8c34-f6e012b1373a.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Software

This is the data displayed and discussed in the paper 'Performance metrics for the continuous distribution of entanglement in multi-user quantum networks' (arXiv:2307.01406). The data corresponds to the simulation of a protocol for continuous distribution of entanglement in quantum networks. The data is stored in a single zip file, 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/optimizing-cd-protocols .

history
  • 2023-09-05 first online, published, posted
publisher
4TU.ResearchData
format
zip file containing python data files (see README file for more information)
funding
  • NWO/OCW Frontiers of Nanoscience
  • ERC Starting Grant
organizations
TU Delft, QuTech

DATA

files (2)