Institute for Architecture for Application Systems

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File Type: Document

1 to 10 of 18 Results

experiment_plot_error.pdf Jan 29, 2024 - Data repository for: Cutting a Wire with Non-Maximally Entangled States Adobe PDF - 196.7 KB - MD5: 01650ac972958f9fe0687708d2fb0990 Figure 6: Plot from the generated data.
Exemplars.xlsx Nov 27, 2023 - Replication Data for: Uncovering LLMs for Service-Composition: Challenges and Opportunities MS Excel Spreadsheet - 18.8 KB - MD5: e9ae404b4c15cf4db615debfb318510d List of scenarios found in the Google Scholar literature search. (The original file.)
avg_rank_experiments.pdf Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs Adobe PDF - 70.2 KB - MD5: 21850b0dc649f6572df2431daf6e5c6f The average risk after training a 6-qubit QNN for randomly generated target unitaries. For this experiment, data of varying Schmidt rank with average ranks r ∈ {1,2,4,64} and different input sizes t ∈ {1,2,4,8,16,32,64} was used. The markers give the experimentally computed avera...
avg_rank_losses.pdf Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs Adobe PDF - 158.8 KB - MD5: e2e6fbb55a2e0cb2f2fd0c46f3086cc4 The average losses at the end of training for QNNs using training data of varying Schmidt ranks with mean Schmidt ranks in {1,2,4,64}.
figure_1.pdf Sep 27, 2023 - Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs Adobe PDF - 165.4 KB - MD5: 7591bfc8ed33637d989ac57790ccf6a4 Figure 1: The eigenvalues introduced by U†VS after training with four orthogonal inputs for a for a low-risk hypothesis (left) and for a high-risk hypothesis (right).
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...
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...
plots_summary.pdf Jul 11, 2023 - Data repository for: Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices Adobe PDF - 875.6 KB - MD5: ac0d8290ee7d3aa4bf0f2f554a5ebc27 This document presents five supplementary plots that provide a comprehensive summary of the data across all graphs in all experiments. Please refer to the plots.zip archive for plots specific to each graph.
07-data-analysis.ods Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing OpenOffice Spreadsheet - 14.2 KB - MD5: 500fb7b6d37492a75062429df269320d Spreadsheet containing the data analysis based on properties of techniques distributed across multiple worksheets. Formulas were removed from the spreadsheet to avoid compatibility issues. (OpenDocument Spreadsheet format)
07-data-analysis.xlsx Mar 15, 2023 - Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing MS Excel Spreadsheet - 25.6 KB - MD5: e2e2931c814a71bad599e80c5a95803b Spreadsheet containing the data analysis based on properties of techniques distributed across multiple worksheets. Formulas were removed from the spreadsheet to avoid compatibility issues. (Excel format)

experiment_plot_error.pdf

Jan 29, 2024 - Data repository for: Cutting a Wire with Non-Maximally Entangled States

Adobe PDF - 196.7 KB -

Figure 6: Plot from the generated data.

Exemplars.xlsx

Nov 27, 2023 - Replication Data for: Uncovering LLMs for Service-Composition: Challenges and Opportunities

MS Excel Spreadsheet - 18.8 KB -

List of scenarios found in the Google Scholar literature search. (The original file.)

avg_rank_experiments.pdf

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

Adobe PDF - 70.2 KB -

The average risk after training a 6-qubit QNN for randomly generated target unitaries. For this experiment, data of varying Schmidt rank with average ranks r ∈ {1,2,4,64} and different input sizes t ∈ {1,2,4,8,16,32,64} was used. The markers give the experimentally computed avera...

avg_rank_losses.pdf

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

Adobe PDF - 158.8 KB -

The average losses at the end of training for QNNs using training data of varying Schmidt ranks with mean Schmidt ranks in {1,2,4,64}.

figure_1.pdf

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

Adobe PDF - 165.4 KB -

Figure 1: The eigenvalues introduced by U†VS after training with four orthogonal inputs for a for a low-risk hypothesis (left) and for a high-risk hypothesis (right).

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...

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...

plots_summary.pdf

Jul 11, 2023 - Data repository for: Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices

Adobe PDF - 875.6 KB -

This document presents five supplementary plots that provide a comprehensive summary of the data across all graphs in all experiments. Please refer to the plots.zip archive for plots specific to each graph.

07-data-analysis.ods

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

OpenOffice Spreadsheet - 14.2 KB -

Spreadsheet containing the data analysis based on properties of techniques distributed across multiple worksheets. Formulas were removed from the spreadsheet to avoid compatibility issues. (OpenDocument Spreadsheet format)

07-data-analysis.xlsx

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

MS Excel Spreadsheet - 25.6 KB -

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