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License: MIT License

1 to 10 of 19 Results

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.
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.
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.
Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Sep 27, 2023 - Quantum Computing @IAAS Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3445, DaRUS, V1 Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp...
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.
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.
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
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
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.
nlihx_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: 6bafb223195f04e5747c244b074eda3e Experiments for training QNNs using linearly dependent data.

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 -

Utility functions for visualisation.

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 -

Utility functions for data generation and experiment setup.

requirements.txt

Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs

Plain Text - 109 B -

Python requirements for reproduction.

Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs

Sep 27, 2023 - Quantum Computing @IAAS

Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3445, DaRUS, V1

Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp...

README.md

Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs

Markdown Text - 1.8 KB -

Readme file with additional information.

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 -

Gate implementations of common quantum gates for simulation.

qnn.py

Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs

Python Source Code - 567 B -

General QNN description

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 -

Python script for generating the plots for the quantum risk for all experiments and for aggregating and analyzing the raw experiment 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 -

Experiments for training QNNs using orthogonal training data.

nlihx_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 -

Experiments for training QNNs using linearly dependent data.

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