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        <identifier>oai:drops-oai.dagstuhl.de:25672</identifier>
        <datestamp>2026-06-23T10:30:05Z</datestamp>
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          <dc:title>LAMINA: An MLIR-Based Translation Library for Heterogeneous Quantum-Classical Compilation</dc:title>
          <dc:creator>De Pascale, Marco</dc:creator>
          <dc:creator>Hernández Vera, Mario</dc:creator>
          <dc:creator>Echavarria, Jorge</dc:creator>
          <dc:creator>Nufail Farooqi, Muhammad</dc:creator>
          <dc:creator>Schulz, Martin</dc:creator>
          <dc:creator>Schulz, Laura</dc:creator>
          <dc:subject>HPCQC</dc:subject>
          <dc:subject>MLIR</dc:subject>
          <dc:subject>Quantum Computing</dc:subject>
          <dc:subject>Heterogeneous Computing</dc:subject>
          <dc:description>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.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Marco De Pascale and Mario Hernández Vera and Jorge Echavarria and Muhammad Nufail Farooqi and Martin Schulz and Laura Schulz</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of 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)</dc:relation>
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          <dc:identifier>doi:10.4230/OASIcs.PARMA-DITAM.2026.5</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-256720</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.PARMA-DITAM.2026.5</dc:identifier>
          <dc:language>eng</dc:language>
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