Data for paper Designing Quantum Networks Using Preexisting Infrastructure
DOI:10.4121/14914806.v1
The DOI displayed 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: 10.4121/14914806
DOI: 10.4121/14914806
Datacite citation style
Avis, Guus; Julian Rabbie; Wehner, S.D.C. (Stephanie); Chakraborty, Kaushik (2021): Data for paper Designing Quantum Networks Using Preexisting Infrastructure. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/14914806.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
This is the data corresponding to the paper Designing Quantum Networks Using Preexisting Infrastructure. It contains data for parameter scans over different parameters that go into our method for solving the Repeater Allocation Problem and for the computation duration as a function of network size. In both cases, sample networks were generated as random geometric graphs. More information about the methodology can be found in the paper.
All data is in CSV format. Additionally, one python file is included that can be used to create plots based on the parameter-scan data (i.e. scan_D-(...).csv, scan_Lmax-(...).csv and scan_K-(...).csv).
The python code used to generate the data can be found in the this GitHub repository: https://github.com/jtrabbie/RepAlloc .
All data is in CSV format. Additionally, one python file is included that can be used to create plots based on the parameter-scan data (i.e. scan_D-(...).csv, scan_Lmax-(...).csv and scan_K-(...).csv).
The python code used to generate the data can be found in the this GitHub repository: https://github.com/jtrabbie/RepAlloc .
History
- 2021-07-13 first online, published, posted
Publisher
4TU.ResearchDataReferences
Funding
- Quantum Internet Alliance (grant code 820445) [more info...] European Commission
- Quantum Software Consortium (grant code 024.003.037) [more info...] Dutch Research Council
Organizations
QuTech, Delft University of TechnologyKavli Institute of Nanoscience, Delft University of Technology
DATA
Files (6)
- 5,329 bytesMD5:
454c037659c07c1c0c52b58e8e86a7b5README - 446 bytesMD5:
2d3b5590f9070dfd99a8c1f3402e4977computation_times_data.csv - 1,657 bytesMD5:
73128f57aed4b59e46128a451724c55eplot_csv_data_parameter_scans_on_random_geometric_graphs.py - 61,590 bytesMD5:
932dedefb6f95a955d2cf4b8d87ca535scan_D-num_nodes_25_L_max_0,9_N_max_6_K_6_radius_0,9.csv - 51,329 bytesMD5:
e270392281309df36e77de5942b94c71scan_K-num_nodes_25_Lmax_0,9_N_max_6_D_4_radius_0,9.csv - 69,433 bytesMD5:
2e56a89a785dd5eba615adae8f928a5bscan_Lmax-num_nodes_25_N_max_6_D_4_K_6_radius_0,9.csv -
download all files (zip)
189,784 bytes unzipped





