most citedThe Munich Quantum Software Stack: Connecting End Users, Integrating Diverse Quantum Technologies, Accelerating HPC

9 citations · 13 across the 8 of their papers we have counts for

collaborators

10 papers

cs.PL2026

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

Ercüment Kaya, Ekin Devim Şahinkaya, Minh Chung +1

Quantum computing introduces specialized software stacks and programming interfaces that are often tightly coupled to specific ecosystems and hardware backends, limiting interopera…

quant-ph2026

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

Andre Youssefi, Ercüment Kaya, Minh Chung +3

High Performance Computing (HPC) and Quantum Computing (QC) systems are increasingly converging towards unified High Performance Computing-Quantum Computing (HPCQC) infrastructures…

quant-ph2026

Enabling Hybrid HPCQC Workflows with a Heterogeneous Software Stack

Muhammad Nufail Farooqi, Minh Chung, Burak Mete +5

In this work, we demonstrate hybrid High Performance Computing-Quantum Computing (HPCQC) workflows on a production petascale system. The demonstration combines three components: th…

cs.ET2026

MQSS Client: Interface for Decoupling Quantum Programming Interfaces

Ercüment Kaya, Muhammad Nufail Farooqi, Minh Chung +3

Quantum Computing (QC) is an emerging technology that requires customized tools, such as software stacks and programming interfaces. However, currently, the tools are generally tig…

quant-ph2026

Quantum Statistical Memory Advantage Reveals Predictive Structure in Chaotic Invariant Measures

Maida Wang, Xiao Xue, Minh Chung +1

Long-horizon prediction of a chaotic system is governed by fidelity to its invariant measure, and which parts of that measure a learned predictor needs is a physical question not k…

physics.flu-dyn2026

Explainable quantum-compressed machine learning for complex fluid flows

Xiao Xue, Maida Wang, Mingyang Gao +2

Machine-learning surrogates of physical systems face a paradox: explainable models facing the challenge of expressivity to capture complex nonlinear flows, whereas expressive deep…

quant-ph2026

Evaluating System-Level Fidelity with Peaked Random Circuits

Martin Brieger, Florian Krötz, Minh Chung +1

Quantum computing is progressing beyond experimental prototypes toward cloud-based services and commercially deployed turnkey systems. Evaluating and comparing platform performance…

quant-ph2025★ 9 cited

The Munich Quantum Software Stack: Connecting End Users, Integrating Diverse Quantum Technologies, Accelerating HPC

Lukas Burgholzer, Jorge Echavarria, Patrick Hopf +11

Quantum computing is advancing rapidly in hardware and algorithms, but broad accessibility demands a comprehensive, efficient, unified software stack. Such a stack must flexibly sp…

physics.ed-ph2025

Q-BEAST: A Practical Course on Experimental Evaluation and Characterization of Quantum Computing Systems

Minh Chung, Yaknan Gambo, Burak Mete +12

Quantum computing (QC) promises to be a transformative technology with impact on various application domains, such as optimization, cryptography, and material science. However, the…

quant-ph2025★ 4 cited

Extending Quantum Computing through Subspace, Embedding and Classical Molecular Dynamics Techniques

Thomas M. Bickley, Angus Mingare, Tim Weaving +10

The advent of hybrid computing platforms consisting of quantum processing units integrated with conventional high-performance computing brings new opportunities for algorithm desig…