1 to 6 of 6 Results
Oct 8, 2024
Mandl, Alexander; Bechtold, Marvin; Barzen, Johanna; Leymann, Frank, 2024, "Data repository for "Minimial-Risk Training Samples for QNN Training from Measurements"", https://doi.org/10.18419/darus-4113, DaRUS, V1
Replication code and experiment result data for training Quantum Neural Networks with entangled data using one-dimensional projectors as observables. This is the version of the code that was used to generate the experiment results in the related publication. Experiments: - exp_in... |
Jan 29, 2024
Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander, 2024, "Data repository for: Cutting a Wire with Non-Maximally Entangled States", https://doi.org/10.18419/darus-3888, DaRUS, V1, UNF:6:79HIPgCvMDi51TZ2V7NUew== [fileUNF]
This dataset contains the replication code for the publication titled "Cutting a Wire with Non-Maximally Entangled States." The provided code represents the version utilized to generate the experimental results documented in the corresponding publication. For comprehensive instru... |
Sep 27, 2023
Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Reproduction Code for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3445, DaRUS, V1
Replication code for training Quantum Neural Networks using entangled datasets. This is the version of the code that was used to generate the experiment results in the related publication. For future developments and discussion see the Github repository. Experiments: avg_rank_exp... |
Sep 27, 2023
Mandl, Alexander; Barzen, Johanna; Leymann, Frank; Mangold, Victoria; Riegel, Benedikt; Vietz, Daniel; Winterhalter, Felix, 2023, "Data Repository for: On Reducing the Amount of Samples Required for Training of QNNs", https://doi.org/10.18419/darus-3442, DaRUS, V1
Simulation experiment data for training Quantum Neural Networks (QNNs) using entangled datasets. The experiments investigate the validity of the lower bounds for the expected risk after training QNNs given by the extensions to the Quantum No-Free-Lunch theorem presented in the re... |
Jul 11, 2023
Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander; Obst, Julian; Truger, Felix; Weder, Benjamin, 2023, "Data repository for: Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices", https://doi.org/10.18419/darus-3124, DaRUS, V1
This dataset contains the replication code for the publication titled "Investigating the effect of circuit cutting in QAOA for the MaxCut problem on NISQ devices." The provided code represents the version utilized to generate the experimental results documented in the correspondi... |
Mar 15, 2023
Truger, Felix; Barzen, Johanna; Bechtold, Marvin; Beisel, Martin; Leymann, Frank; Mandl, Alexander; Yussupov, Vladimir, 2023, "Data Repository for a Systematic Mapping Study on Warm-Starting and Quantum Computing", https://doi.org/10.18419/darus-3367, DaRUS, V1, UNF:6:6jaDBAjOxvSCZE1LEBN3xA== [fileUNF]
Data representing intermediate and final results of the systematic mapping study entitled "Warm-Starting and Quantum Computing: A Systematic Mapping Study". The data is prepared in a folder structure. It is recommended to change the files view to "Tree" to get a better overview o... |