2 citations · 2 across the 4 of their papers we have counts for
7 papers
Decoder Dependence in Surface-Code Threshold Estimation with Native Gottesman-Kitaev-Preskill Digitization and Parallelized Sampling
Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt +1
We quantify decoder dependence in surface-code threshold studies under two matched regimes: Pauli noise and native GKP-style Gaussian displacement digitization. Using LiDMaS+ v1.1.…
OMNIA: Closing the Loop by Leveraging LLMs for Knowledge Graph Completion
Frédéric Ieng, Soror Sahri, Mourad Ouzzani +5
Knowledge Graphs (KGs) are widely used to represent structured knowledge, yet their automatic construction, especially with Large Language Models (LLMs), often results in incomplet…
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…