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DTSTART;TZID=America/Chicago:20251121T104500
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UID:submissions.supercomputing.org_SC25_sess224_ws_sfwm101@linklings.com
SUMMARY:Towards Supporting QIR: Steps for Adopting the Quantum Intermediat
 e Representation
DESCRIPTION:Yannick Stade (Technical University Munich) and Lukas Burgholz
 er and Robert Wille (Technical University Munich, Munich Quantum Software 
 Company)\n\nAs quantum computers grow in qubit count and fidelity, transla
 ting applications into hardware-specific instructions becomes essential. I
 ntermediate representations (IRs) help optimize this process. One such IR 
 is Microsoft’s Quantum Intermediate Representation (QIR), built on the LLV
 M compiler framework. This article explores various ways QIR can be integr
 ated into quantum computing workflows. It demonstrates how to convert an e
 xisting quantum circuit simulator into a QIR runtime, showing that the tra
 nsition is straightforward and does not compromise performance. In fact, a
 dopting QIR enables advanced features like classical control flow, which i
 s crucial for testing quantum error correction protocols. The implementati
 on is open-source and available at https://github.com/cda-tum/mqt-core, an
 d the article concludes with future directions for QIR development.\n\nRec
 ording: Livestreamed, Recorded\n\nRegistration Category: Technical Program
  Reg Pass, Workshop Reg Pass\n\nSession Chairs: In-Saeng Suh (Oak Ridge Na
 tional Laboratory (ORNL)); Esam El-Araby (University of Kansas); Edo Giust
 o (University of Naples Federico II); Katie Klymko (National Energy Resear
 ch Scientific Computing Center (NERSC), ESnet; Lawrence Berkeley National 
 Laboratory (LBNL)); Frank Mueller (North Carolina State University); and J
 orge Echavarria (Munich Quantum Valley (MQV))\n\n
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