8 citations · 19 across the 13 of their papers we have counts for
14 papers
Auditing Syndrome-to-Decoder Mappings for Repetition, Surface, CSS, and Digitized-GKP Interfaces
Dennis Delali Kwesi Wayo, Chinonso Onah, Rodrigo Alves Dias +2
Quantum error-correction experiments increasingly require a verified interface between measured syndrome bits and decoder-native correction requests. We report a four-branch syndro…
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…
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…
Decoder Dependence in Surface-Code Threshold Estimation under Digitized Hybrid Continuous-Variable and Discrete Noise
Dennis Delali Kwesi Wayo, Chinonso Onah, Leonardo Goliatt +1
Surface-code threshold estimates depend on the inference pipeline, including decoder and estimator choices. We compare decoders within a single LiDMaS+ workflow under Pauli-referen…
DifGa: Differentiable Error Mitigation for Multi-Mode Gaussian and Non-Gaussian Noise in Quantum Photonic Circuits
Dennis Delali Kwesi Wayo, Rodrigo Alves Dias, Leonardo Goliatt +1
We introduce DifGa, a fully differentiable error-mitigation framework for continuous-variable (CV) quantum photonic circuits operating under Gaussian loss and weak non-Gaussian noi…
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…
QCE'24 Tutorial: Quantum Annealing -- Emerging Exploration for Database Optimization
Nitin Nayak, Manuel Schönberger, Valter Uotila +4
Quantum annealing is a meta-heuristic approach tailored to solve combinatorial optimization problems with quantum annealers. In this tutorial, we provide a fundamental and comprehe…
Are Large Language Models the New Interface for Data Pipelines?
Sylvio Barbon Junior, Paolo Ceravolo, Sven Groppe +5
A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant at…
Research Trends for the Interplay between Large Language Models and Knowledge Graphs
Hanieh Khorashadizadeh, Fatima Zahra Amara, Morteza Ezzabady +7
This survey investigates the synergistic relationship between Large Language Models (LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's capabilities in understan…
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
Maja Franz, Tobias Winker, Sven Groppe +1
Identifying optimal join orders (JOs) stands out as a key challenge in database research and engineering. Owing to the large search space, established classical methods rely on app…