21 to 30 of 2,454 Results
Tabular Data - 14.9 MB - 8 Variables, 150001 Observations - UNF:6:aqTcm667lieXOT94pNtqYQ==
Generated data for the second experiment. A detailed description of the columns can be found in the README.md file. |
Python Source Code - 924 B -
MD5: f41c65b2248856e4a8ceeb23d8579946
Functions to read and write pandas DataFrames to CSV files. |
Python Source Code - 7.6 KB -
MD5: 2656f9228222b72d1c330efc6b651f81
Functions to execute the experiment. |
Jupyter Notebook - 38.5 KB -
MD5: 56b58ebb1338d27958529f09b29d1083
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Python Source Code - 1.5 KB -
MD5: 1cdb357a2caf5e4c904e4c8cab92d325
Functions to generate the mutually unbiased bases transformations. |
Python Source Code - 5.2 KB -
MD5: a8b3017fd61422756a1cab05b2ab13c2
Functions to generate operators, e.g., for teleportation. |
Adobe PDF - 199.1 KB -
MD5: 29c55914dbe229f3d64907b2d3f56b85
Plot from the generated data of experiment 1. |
Adobe PDF - 135.9 KB -
MD5: cf95b072843c452a8f6cae28a7ea7141
Plot from the generated data of experiment 1. |
Jupyter Notebook - 58.7 KB -
MD5: dddcc6cf6126e960de35b77316a6c9dd
The main entry point to plot generated data. Requires the data as CSV file. |
Markdown Text - 2.1 KB -
MD5: e578ebbd1e188030418ecb9c26adc624
Readme file with additional information on the data and code. |
