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20242026
most citedQCE'24 Tutorial: Quantum Annealing -- Emerging Exploration for Database Optimization

2 citations · 3 across the 10 of their papers we have counts for

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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…

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.…

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-ph2025

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…

quant-ph2025

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…

quant-ph2025

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…