Institute for Architecture for Application Systems

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41 to 50 of 129 Results

nlihx_experiments.pdf Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs Adobe PDF - 68.6 KB - MD5: 80bc1f5e3db61210162ddf4b8ffe23d3 The average risk after training a 6-qubit QNN for randomly generated target unitaries using linearly dependent data according. For each number of training pairs t, the Schmidt rank is chosen as such that r · t = d. The lower bound for the risk for this configuration is shown as a...
nlihx_exp_points.npy Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs Unknown - 184 B - MD5: d938321dcf959b96639d9543ae6e759d Array containing the average risks after training with t = 1,2,4,8,16,32,64 entangled training samples that are not linearly independent in H_X.
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.
muse-small.db Apr 28, 2021 - MUSE Datenset Unknown - 53.6 MB - MD5: 90811fa7a42ced478a66b95bedf8b7eb
MUSE Datenset Apr 28, 2021 - MUSE Barzen, Johanna; Bühler, Fabian; Leymann, Frank, 2021, "MUSE Datenset", https://doi.org/10.18419/darus-1805, DaRUS, V1 Datensatz des MUSE Projekts: MUSE hat zum Ziel, Konventionen, die sich im Film entwickelt haben, um mittels Filmkostümen beispielsweise Stereotypen, Charaktereigenschaften, etc. zu kommunizieren, zu identifizieren und diese als eine Mustersprache für Kostüme darzustellen um das V...
MUSE(Universität Stuttgart) Apr 27, 2021 Mustersprachen, Patter Languages, Digital Humanities, Filmsprache, Kostüme Costumes, vestimentäre Kommunikation
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
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
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.
generate-sqlite-db.sh Apr 28, 2021 - MUSE Datenset Shell Script - 190 B - MD5: 4938e033f6c73ad1e0bc67c2d6a2fcd9

nlihx_experiments.pdf

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

Adobe PDF - 68.6 KB -

The average risk after training a 6-qubit QNN for randomly generated target unitaries using linearly dependent data according. For each number of training pairs t, the Schmidt rank is chosen as such that r · t = d. The lower bound for the risk for this configuration is shown as a...

nlihx_exp_points.npy

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

Unknown - 184 B -

Array containing the average risks after training with t = 1,2,4,8,16,32,64 entangled training samples that are not linearly independent in H_X.

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.

muse-small.db

Apr 28, 2021 - MUSE Datenset

Unknown - 53.6 MB -

MUSE Datenset

Apr 28, 2021 - MUSE

Barzen, Johanna; Bühler, Fabian; Leymann, Frank, 2021, "MUSE Datenset", https://doi.org/10.18419/darus-1805, DaRUS, V1

Datensatz des MUSE Projekts: MUSE hat zum Ziel, Konventionen, die sich im Film entwickelt haben, um mittels Filmkostümen beispielsweise Stereotypen, Charaktereigenschaften, etc. zu kommunizieren, zu identifizieren und diese als eine Mustersprache für Kostüme darzustellen um das V...

MUSE(Universität Stuttgart)

Apr 27, 2021

Mustersprachen, Patter Languages, Digital Humanities, Filmsprache, Kostüme Costumes, vestimentäre Kommunikation

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

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

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.

generate-sqlite-db.sh

Apr 28, 2021 - MUSE Datenset

Shell Script - 190 B -

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