1 to 10 of 18 Results
Bechtold, Marvin; Barzen, Johanna; Leymann, Frank; Mandl, Alexander; Truger, Felix, 2024, "Data repository for "Joint Wire Cutting with Non-Maximally Entangled States"", https://doi.org/10.18419/DARUS-4632, DaRUS, V1, UNF:6:oUWWwJbE35iP7+XujN7O1g== [fileUNF]
This dataset contains the replication code for the publication titled "Joint Wire Cutting with Non-Maximally Entangled States." The provided code represents the version utilized to generate the experimental results documented in the corresponding publication. The experiments inve... |
Dec 9, 2024 - Architectures and Middleware @IAAS
Pesl, Robin D.; Mathew, Jerin George; Mecella, Massimo; Aiello, Marco, 2024, "Replication Data for: Advanced System Integration: Analyzing OpenAPI Chunking for Retrieval-Augmented Generation", https://doi.org/10.18419/DARUS-4605, DaRUS, V1
Integrating multiple (sub-)systems is essential to create advanced Information Systems (ISs). Difficulties mainly arise when integrating dynamic environments across the IS lifecycle, e.g., services not yet existent at design time. A traditional approach is a registry that provide... |
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... |
Oct 7, 2024 - Architectures and Middleware @IAAS
Pesl, Robin D.; Mombrey, Carolin; Klein, Kevin; Georgievski, Ilche; Becker, Steffen; Herzwurm, Georg; Aiello, Marco, 2024, "Replication Data for: Compositio Prompto: An Architecture to Employ Large Language Models in Automated Service Computing", https://doi.org/10.18419/DARUS-4497, DaRUS, V1
A classic, central Service-Oriented Computing (SOC) challenge is the service composition problem. It concerns solving a user-defined task by selecting a suitable set of services, possibly found at runtime, determining an invocation order, and handling request and response paramet... |
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... |
Pesl, Robin D.; Stötzner, Miles; Georgievski, Ilche; Aiello, Marco, 2023, "Replication Data for: Uncovering LLMs for Service-Composition: Challenges and Opportunities", https://doi.org/10.18419/DARUS-3767, DaRUS, V1, UNF:6:GV+GzTPs7xXW9ITeS6uC7Q== [fileUNF]
Experimental results for the ICSOC 2023 AI-PA position paper "Uncovering LLMs for Service-Composition: Challenges and Opportunities." Exemplars: List of scenarios found in the Google Scholar literature search. Experiment 1 Service Discovery: Chat history for experiment 1 asking C... |
Sep 27, 2023 - Quantum Computing @IAAS
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... |
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... |
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 - Quantum Computing @IAAS
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... |
