8 citations · 20 across the 7 of their papers we have counts for
8 papers
Improved Join Order Optimization for Database Queries using Hybrid Quantum-Classical Approaches for QUBO Problems
Nitin Nayak, Tobias Winker, Umut Çalıkyılmaz +2
Efficient query optimization is crucial for relational database systems, especially for optimizing join orders in complex queries. This work introduces a hybrid approach that integ…
Opportunities and Challenges for Data Quality in the Era of Quantum Computing
Sven Groppe, Valter Uotila, Jinghua Groppe
In an era where data underpins decision-making across science, politics, and economics, ensuring high data quality is of paramount importance. Conventional computing algorithms for…
OptiMA: A Transaction-Based Framework with Throughput Optimization for Very Complex Multi-Agent Systems
Umut Çalıkyılmaz, Nitin Nayak, Jinghua Groppe +1
In recent years, the research of multi-agent systems has taken a direction to explore larger and more complex models to fulfill sophisticated tasks. We point out two possible pitfa…
QCardEst/QCardCorr: Quantum Cardinality Estimation and Correction
Tobias Winker, Jinghua Groppe, Sven Groppe
Cardinality estimation is an important part of query optimization in DBMS. We develop a Quantum Cardinality Estimation (QCardEst) approach using Quantum Machine Learning with a Hyb…
Automated Archival Descriptions with Federated Intelligence of LLMs
Jinghua Groppe, Andreas Marquet, Annabel Walz +1
Enforcing archival standards requires specialized expertise, and manually creating metadata descriptions for archival materials is a tedious and error-prone task. This work aims at…
Variables are a Curse in Software Vulnerability Prediction
Jinghua Groppe, Sven Groppe, Ralf Möller
Deep learning-based approaches for software vulnerability prediction currently mainly rely on the original text of software code as the feature of nodes in the graph of code and th…