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LAMINA: An MLIR-Based Translation Library for Heterogeneous Quantum-Classical Compilation

Authors Marco De Pascale , Mario Hernández Vera , Jorge Echavarria , Muhammad Nufail Farooqi , Martin Schulz , Laura Schulz

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Document Identifiers

Subject Classification

ACM Subject Classification
  • Computer systems organization → Quantum computing
  • Software and its engineering → Just-in-time compilers
  • Software and its engineering → Retargetable compilers
Keywords
  • HPCQC
  • MLIR
  • Quantum Computing
  • Heterogeneous Computing

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Abstract

Quantum computing is increasingly integrated into  High-Performance Computing (HPC) environments, where quantum processors act as specialized accelerators within hybrid workflows. The Munich Quantum Software Stack (MQSS) - a unified compilation and runtime framework for hybrid quantum–classical computing - provides the foundation for this integration. However, the growing heterogeneity of applications demands more flexible compilation tools. This work introduces an MultiLevel Intermediate Representation (MLIR)-based translation library that extends MQSS by enabling the conversion of CUDA-Quantum (CUDA-Q) (quake) dialects into machine learning–oriented MLIR representations compatible with modern compiler ecosystems. Leveraging MLIR’s dialect-driven design, the library enables hardware-agnostic transformations, device-specific optimizations, and seamless integration with MQSS components. The proposed approach bridges quantum compilation and contemporary machine learning frameworks, facilitating GPU-accelerated circuit simulation, hybrid quantum–classical workflows, and heterogeneous execution, thereby advancing a unified compiler infrastructure for quantum computing.

Cite As Get BibTex

Marco De Pascale, Mario Hernández Vera, Jorge Echavarria, Muhammad Nufail Farooqi, Martin Schulz, and Laura Schulz. LAMINA: An MLIR-Based Translation Library for Heterogeneous Quantum-Classical Compilation. In 17th Workshop on Parallel Programming and Run-Time Management Techniques for Many-Core Architectures and 15th Workshop on Design Tools and Architectures for Multicore Embedded Computing Platforms (PARMA-DITAM 2026). Open Access Series in Informatics (OASIcs), Volume 141, pp. 5:1-5:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026) https://doi.org/10.4230/OASIcs.PARMA-DITAM.2026.5

Author Details

Marco De Pascale
  • Leibniz Supercomputing Centre, München, Germany
Mario Hernández Vera
  • Leibniz Supercomputing Centre, München, Germany
Jorge Echavarria
  • Leibniz Supercomputing Centre, München, Germany
Muhammad Nufail Farooqi
  • Leibniz Supercomputing Centre, München, Germany
Martin Schulz
  • Technical University of Munich, Germany
Laura Schulz
  • Argonne National Laboratory, Lemont, IL, USA

Funding

This work is supported by the German Federal Ministry of Research, Technology and Space (BMFTR) with the grants 13N15689 (DAQC), 13N16063 (Q-Exa), 13N16078 (MUNIQC-Atoms), 13N16187 (MUNIQC-SC), 13N16690 (Euro-Q-Exa), 13N16894 (MAQCS), European fundings 101136607 (CLARA), 101114305 (Millenion), 10111394-6 (OpenSuperQPlus), 101194491 (QEX), and the Bavarian State Ministry of Science and the Arts (StMWK) through funding, as part of MQV, Q-DESSI.

Acknowledgements

The authors acknowledge Fabian Mora Cordero and Sunita Chandrasekaran from the University of Delaware for the initial discussion on this topic. The authors thank the anonymous reviewers for their constructive feedback and insightful suggestions.

Supplementary Materials

References

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