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License: CC BY 4.0

41 to 50 of 82 Results

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.
not_linearly_independent_results.zip Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs ZIP Archive - 182.8 MB - MD5: 8dba18ba2b5bd59caebd71d64e04c17f Raw data (losses and risks) for training QNNs using entangled training data that is not linearly independent in H_X. Directory t[a] contains results for QNNs trained with "a" training samples. For analyzed results see nlihx_exp_points.npy.
orthogonal_experiments.pdf Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs Adobe PDF - 68.7 KB - MD5: 60f2614c7fffce46d724ccc90c2e1a10 The average risk after training a 6-qubit QNN for randomly generated target unitaries using orthogonal data. 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 dashed line. The...
orthogonal_exp_points.npy Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs Unknown - 184 B - MD5: 7d96b191470e360b62deb994ecdf808c Array containing the average risks after training with t = 1,2,4,8,16,32,64 orthogonal entangled training samples.
orthogonal_results.zip Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs ZIP Archive - 183.6 MB - MD5: 808a025fe107f06ba43821ed90fd3036 Raw data (losses and risks) for training QNNs using orthogonal entangled training data. Directory t[a] contains results for QNNs trained with "a" training samples. For analyzed results see orthogonal_exp_points.npy
phases_in_orthogonal_training.zip Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs ZIP Archive - 7.3 KB - MD5: 6068205158d0b55c221d3dffec6af2b6 Contains training data (X), the target unitary (U) and the resulting unitary (V) as Numpy-Files for training using four orthogonal training samples for a high risk QNN and a low risk QNN (see Figure 1)
01-queries.md Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing Markdown Text - 6.6 KB - MD5: ce24d700375cbcb2c6c10ed0f96174f4 The exact search queries executed for each of the selected publication databases, supplemented with additional notes on details of the execution of each database search where applicable.
02-01-acm.bib Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing text/x-bibtex - 4.4 KB - MD5: daefdf7ae36aad8230b4357196ab292f Bibliography file containing the search results obtained from the ACM Digital Library.
02-02-ieeexplore.bib Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing text/x-bibtex - 42.2 KB - MD5: 4ac4523031320c6a3aa183b16ab6eb31 Bibliography file containing the search results obtained from IEEE Xplore.
02-03-sciencedirect.bib Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing text/x-bibtex - 98.7 KB - MD5: 3861fc0cf11e0f9f86ea84b286fc6bdc Bibliography file containing the search results obtained from ScienceDirect.

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.

not_linearly_independent_results.zip

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

ZIP Archive - 182.8 MB -

Raw data (losses and risks) for training QNNs using entangled training data that is not linearly independent in H_X. Directory t[a] contains results for QNNs trained with "a" training samples. For analyzed results see nlihx_exp_points.npy.

orthogonal_experiments.pdf

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

Adobe PDF - 68.7 KB -

The average risk after training a 6-qubit QNN for randomly generated target unitaries using orthogonal data. 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 dashed line. The...

orthogonal_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 orthogonal entangled training samples.

orthogonal_results.zip

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

ZIP Archive - 183.6 MB -

Raw data (losses and risks) for training QNNs using orthogonal entangled training data. Directory t[a] contains results for QNNs trained with "a" training samples. For analyzed results see orthogonal_exp_points.npy

phases_in_orthogonal_training.zip

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

ZIP Archive - 7.3 KB -

Contains training data (X), the target unitary (U) and the resulting unitary (V) as Numpy-Files for training using four orthogonal training samples for a high risk QNN and a low risk QNN (see Figure 1)

01-queries.md

Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing

Markdown Text - 6.6 KB -

The exact search queries executed for each of the selected publication databases, supplemented with additional notes on details of the execution of each database search where applicable.

02-01-acm.bib

Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing

text/x-bibtex - 4.4 KB -

Bibliography file containing the search results obtained from the ACM Digital Library.

02-02-ieeexplore.bib

Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing

text/x-bibtex - 42.2 KB -

Bibliography file containing the search results obtained from IEEE Xplore.

02-03-sciencedirect.bib

Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing

text/x-bibtex - 98.7 KB -

Bibliography file containing the search results obtained from ScienceDirect.

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