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1,171 to 1,180 of 1,647 Results
ortho_exp.py
Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
Python Source Code - 2.2 KB - MD5: 8d0057b92ffa79918d056e3fec5607db
Experiments for training QNNs using orthogonal training data.
plots.py
Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
Python Source Code - 13.8 KB - MD5: 8fa54e027cd52ee10a990216bd0b3e04
Python script for generating the plots for the quantum risk for all experiments and for aggregating and analyzing the raw experiment results
qnn.py
Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
Python Source Code - 567 B - MD5: 2d59023ea07e02020019970d499218fa
General QNN description
quantum_gates.py
Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
Python Source Code - 4.4 KB - MD5: 880496a1590c56ea84ba76c2c826db7a
Gate implementations of common quantum gates for simulation.
README.md
Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
Markdown Text - 1.8 KB - MD5: 031d17f5835f39bb778cc86ddb5a9873
Readme file with additional information.
requirements.txt
Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs
Plain Text - 109 B - MD5: fa967312ca664d7446bf755b0315efef
Python requirements for reproduction.
utils.py
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.
vis_utils.py
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.
Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations
Aug 31, 2023 - Publications
Tapia Camú, Cristóbal; Aicher, Simon, 2023, "Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations", https://doi.org/10.18419/DARUS-3318, DaRUS, V2, UNF:6:gvvNiEJEFzTByhaIsaPJVQ== [fileUNF]
This repository contains the experimental data of the tests described in the paper, as well as the python scripts used for the analysis of the data. Also, the finite element model in form of an Abaqus python script is included.
model_connection.py
Aug 31, 2023 - Replication Data for: A new concept for column-to-column connections for multi-storey timber buildings - Numerical and experimental investigations
Python Source Code - 44.4 KB - MD5: 0402caab3ebce847f2a080174470e1e9
Abaqus parametric finite element model of the column-to-column connection.
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