Institute for Architecture for Application Systems

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51 to 60 of 129 Results

cuda_qnn.py Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Python Source Code - 18.5 KB - MD5: ee5babfdaf1828206a38944c1f26c713 QNN ansatz implementations for classical simulation using PyTorch.
data.py Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Python Source Code - 14.4 KB - MD5: 05a60d0e08fe086be30c1982b88ee9a8 Data generation routines for the experiments.
generate_experiments.py Sep 27, 2023 - Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs Python Source Code - 13.2 KB - MD5: 27ae2978ce34969769e840b21da5526c Experiment entry point. Generates training data, calls simulation and training routines and saves results. Also responsible for distributing experiment workloads to multiple processors.
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.

cuda_qnn.py

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

Python Source Code - 18.5 KB -

QNN ansatz implementations for classical simulation using PyTorch.

data.py

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

Python Source Code - 14.4 KB -

Data generation routines for the experiments.

generate_experiments.py

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

Python Source Code - 13.2 KB -

Experiment entry point. Generates training data, calls simulation and training routines and saves results. Also responsible for distributing experiment workloads to multiple processors.

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.

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