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UID:submissions.supercomputing.org_SC24_sess487_drs101@linklings.com
SUMMARY:Supporting End Users in Implementing Quantum Computing Application
 s
DESCRIPTION:Nils Quetschlich (Technical University of Munich)\n\nQuantum c
 omputing applications require expert knowledge to perform complex steps: (
 1) selecting a suitable quantum algorithm, (2) generating the quantum circ
 uit, (3) compiling/executing the quantum circuit, and (4) decoding the res
 ults. This creates high entry barriers for end users with limited expertis
 e who need solutions for domain-specific problems. This poster highlights 
 methods developed to assist end users, resulting in multiple open-source t
 ools in the Munich Quantum Toolkit (MQT) on GitHub. \n\nThe poster focuses
  on three main tasks:\n\n1) End-User Workflow (MQT ProblemSolver): Providi
 ng a workflow from classical input to a quantum solution, then returning i
 t to classical format.\n\n2) Quantum Device Selection and Compilation (MQT
  Predictor): Selecting and efficiently compiling the most suitable quantum
  device.\n\n3) Benchmark Suite (MQT Bench): Offering representative test c
 ases in a benchmark suite of quantum applications.\n\nThese tools simplify
  quantum computing, making it accessible to non-experts.\n\nRegistration C
 ategory: Tech Program Reg Pass, Exhibits Reg Pass\n\nSession Chairs: Ayesh
 a Afzal (Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen Natio
 nal High Performance Computing Center); Sally Ellingson (University of Ken
 tucky); and Alan Sussman (University of Maryland)\n\n
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