1 to 10 of 114 Results
Adobe PDF - 1.5 MB -
MD5: 2308d08265282378fd4e3335abef9f0c
Qualitative visual analysis of the selected CCSCI approaches. |
Sep 27, 2023 -
Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
Python Source Code - 2.9 KB -
MD5: e03fd7afffe888e2895e000bc5d68279
Utility functions for visualisation. |
Sep 27, 2023 -
Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
Python Source Code - 5.2 KB -
MD5: 1f7467697f67061ced50e55509ee2058
Utility functions for data generation and experiment setup. |
Python Source Code - 2.3 KB -
MD5: 036a4b11c59ddedcf7cd58d159b52f72
Utility functions for the experiments. |
Python Source Code - 4.8 KB -
MD5: 894906f22dbd93ef4e3308dae176b06d
Functions to perform quantum teleportation. |
Apr 28, 2021 -
MUSE Datenset
SQL Code - 36.9 KB -
MD5: cb238ee1afa2d0cc155e0f934df64034
|
Apr 28, 2021 -
MUSE Datenset
SQL Code - 836.2 MB -
MD5: 940a75c4920f888d8f21f50f8f158ac0
|
Apr 28, 2021 -
MUSE Datenset
SQL Code - 26.2 MB -
MD5: 2fd1dbea0a1b7975cff30a1daed129c5
|
Nov 30, 2022 -
Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches
MS Excel Spreadsheet - 410.7 KB -
MD5: a98239092402fc6514a65dbe7b24bdd8
The data presented in Microsoft Excel format. |
Nov 30, 2022 -
Selection, Data Extraction, and Data Synthesis for Cross-chain Smart Contract Invocation Approaches
OpenOffice Spreadsheet - 281.1 KB -
MD5: 4309c8502bdced6f7ce8ab8ddbd35ed1
The data presented in OpenOffice format. |