Institute for Architecture for Application Systems

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51 to 60 of 118 Results

logger.py Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Python Source Code - 4.6 KB - MD5: 7cad64b10f13aa99ad9bec3335e7a72a Logging utilities
metrics.py Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Python Source Code - 826 B - MD5: dc804c83ce2807ae1ab4dd51b1c87148 Functions for evaluating the quantum risk
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.
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.

logger.py

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

Python Source Code - 4.6 KB -

Logging utilities

metrics.py

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

Python Source Code - 826 B -

Functions for evaluating the quantum risk

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.

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.

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

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

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.

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.

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.

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.

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