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Documents authored by De Pascale, Marco


Artifact
Software
QCT-UEA-management/quake2iree

Authors: Mario Hernandez Vera and Marco De Pascale


Abstract

Cite as

Mario Hernandez Vera, Marco De Pascale. QCT-UEA-management/quake2iree (Software, Source Code). Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2026)


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@misc{dagstuhl-artifact-25678,
   title = {{QCT-UEA-management/quake2iree}}, 
   author = {Hernandez Vera, Mario and De Pascale, Marco},
   note = {Software, swhId: \href{https://archive.softwareheritage.org/swh:1:snp:c7b8f26bbeb0273ac7e029a8bba5845db219bdec}{\texttt{swh:1:snp:c7b8f26bbeb0273ac7e029a8bba5845db219bdec}} (visited on 2026-04-10)},
   url = {https://github.com/QCT-UEA-management/quake2iree.git},
   doi = {10.4230/artifacts.25678},
}
Document
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, and Laura Schulz

Published in: OASIcs, Volume 141, 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)


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

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)


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@InProceedings{depascale_et_al:OASIcs.PARMA-DITAM.2026.5,
  author =	{De Pascale, Marco and Hern\'{a}ndez Vera, Mario and Echavarria, Jorge and Nufail Farooqi, Muhammad and Schulz, Martin and Schulz, Laura},
  title =	{{LAMINA: An MLIR-Based Translation Library for Heterogeneous Quantum-Classical Compilation}},
  booktitle =	{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)},
  pages =	{5:1--5:13},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-416-1},
  ISSN =	{2190-6807},
  year =	{2026},
  volume =	{141},
  editor =	{Baroffio, Davide and Busia, Paola and Denisov, Lev and Shukla, Nitin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.PARMA-DITAM.2026.5},
  URN =		{urn:nbn:de:0030-drops-256720},
  doi =		{10.4230/OASIcs.PARMA-DITAM.2026.5},
  annote =	{Keywords: HPCQC, MLIR, Quantum Computing, Heterogeneous Computing}
}
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