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DTSTART;TZID=America/Denver:20231113T140000
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UID:submissions.supercomputing.org_SC23_sess446_ws_qcs103@linklings.com
SUMMARY:Using Azure Quantum Resource Estimator to Evaluate Performance of 
 Quantum Algorithms
DESCRIPTION:Wim van Dam, Mariia Mykhailova, and Mathias Soeken (Microsoft 
 Corporation)\n\nThe automatic resource estimation tools provided by Azure 
 Quantum and Microsoft Quantum Development Kit is described and examples ar
 e given of obtaining resource estimates for fault tolerant implementations
  of several quantum algorithms. The AQ Resource Estimator tool uses the pl
 anar, quantum Instruction-Set Architecture as the logical abstraction leve
 l where the algorithm specification and the physical parameters of a chose
 n quantum hardware profile meet. More specifically, it enables the user to
  provide a high-level specification of an algorithm, which then gets autom
 atically translated to the quantum ISA level. At the lower end of the stac
 k, the tool enables the user to specify parameters such as the physical er
 ror rates, the time durations, the quantum error correction scheme, and th
 e algorithmic error budget. Put together, the tool is thus able to calcula
 te the physical resources that are needed to execute the specific quantum 
 algorithm.\n\nTag: Quantum Computing, Software Engineering\n\nRegistration
  Category: Workshop Reg Pass\n\nSession Chairs: Yuri Alexeev (NVIDIA Corpo
 ration); Bert de Jong (Lawrence Berkeley National Laboratory (LBNL)); Trav
 is Humble (Oak Ridge National Laboratory (ORNL), Quantum Science Centre); 
 Dmitry Liakh (NVIDIA Corporation); Hausi Muller (University of Victoria, B
 ritish Columbia; IEEE Quantum Week); and Ojas Parekh (Sandia National Labo
 ratories)\n\n
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