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Minh Chung

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#software testing Preprint Oct 2026

OpenMQPI: An MLIR-based Pipeline to Offload Quantum Circuits via OpenMP

OpenMQPI is proposed, an MLIR-based OpenMP extension for quantum programming that leverages OpenMP's standardized target offloading infrastructure to integrate quantum resources into HPC applications and achieves the lowest average VQE execution time across all tested qubit configurations.

Ercüment Kaya, Ekin Devim Şahinkaya, Minh Chung et al. · 0 citations
#machine learning Preprint Sep 2026

MQSS-Selector: RL-Guided Pass Selection for an MLIR Compilation Pipeline

High Performance Computing (HPC) and Quantum Computing (QC) systems are increasingly converging towards unified High Performance Computing-Quantum Computing (HPCQC) infrastructures, driven by a growing need to bridge classical and quantum workflows, which affects all levels of the system stack, from the hardware to com...

Andre Youssefi, Ercüment Kaya, Minh Chung et al. · 0 citations
Preprint Aug 2026

Enabling Hybrid HPCQC Workflows with a Heterogeneous Software Stack

In this work, we demonstrate hybrid High Performance Computing-Quantum Computing (HPCQC) workflows on a production petascale system. The demonstration combines three components: the SuperMUC-NG supercomputer at the Leibniz Supercomputing Centre (LRZ), a 20-qubit superconducting quantum processor provided by IQM Quantum...

Muhammad Nufail Farooqi, Minh Chung, B. Mete et al. · 0 citations
Preprint Jul 2026

Explainable quantum-compressed machine learning for complex fluid flows

On two patient-specific cardiovascular benchmarks, the structured QCML propagator matches the predictive accuracy of its classical counterpart on surface pressure spectra, pressure drop, and wall shear stress, establishing QCML as a working component of scientific machine learning and a concrete contribution towards pr...

Xiao Xue, Maida Wang, Mingyang Gao et al. · 0 citations

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