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UID:submissions.supercomputing.org_SC24_sess533_post185@linklings.com
SUMMARY:Towards Scalable Quantum Simulation on Wafer-Scale Engines
DESCRIPTION:Ben Phillips, Dylan Kneidel, Alvir Nobel, and Esam El-Araby (U
 niversity of Kansas)\n\nQuantum computing poses many benefits to the compu
 ting world, given its efficiency over classical computers in problem space
 s. However, the high noise and low logical qubit count of contemporary noi
 sy-intermediate-scale-quantum (NISQ) devices make the development and exec
 ution of quantum algorithms difficult. As such, developers and researchers
  have used classical simulation to prototype and validate their algorithms
 , often utilizing specialized classical hardware such as GPUs and FPGAs fo
 r their parallelization capabilities. We propose an optimized and scalable
  method for quantum simulation using the complex general matrix-vector pro
 duct (GEMV) operation on the Cerebras wafer-scale engine (WSE) architectur
 e. We experimentally determine the scalability of our method for differing
  qubit counts. Finally, we demonstrate viability and scalability by simula
 ting practical quantum image processing circuits using our method.\n\nRegi
 stration Category: Tech Program Reg Pass, Exhibits Reg Pass\n\nSession Cha
 irs: Ayesha Afzal (Friedrich-Alexander-Universität Erlangen-Nürnberg, Erla
 ngen National High Performance Computing Center); Sally Ellingson (Univers
 ity of Kentucky); and Alan Sussman (University of Maryland)\n\n
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