activity
20242026
collaborators

13 papers

quant-ph2026

Hardware-in-the-Loop Syndrome-to-Decoder Validation for Repetition, Surface, CSS-LDPC, and Digitized-GKP Codes

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…

cs.DB2026

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…

quant-ph2026

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…

quant-ph2026

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.…

cs.DB2026

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…

cs.AI2026

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…