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DTSTART;TZID=America/Denver:20231113T161000
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UID:submissions.supercomputing.org_SC23_sess446_ws_qcs126@linklings.com
SUMMARY:An Ising-Based Model for Qubit Mapping
DESCRIPTION:Hayato Ushijima-Mwesigwa and Xiaoyuan Liu (Fujitsu Research of
  America, Inc)\n\nA crucial step in compiling a quantum algorithm involves
  addressing a layout problem to meet the device's layout constraints. The 
 Qubit Mapping and Routing (QMR) problem aims to minimize the number of SWA
 P gates added to the circuit to fulfill NISQ hardware's connectivity const
 raints. Although this problem is NP-hard, finding solutions quickly is vit
 al as it is part of the compilation process.\n\nIn this research, we prese
 nt the QMR problem as a Quadratic Unconstrained Binary Optimization proble
 m (QUBO) and utilize specialized hardware, the Fujitsu Digital Annealer, f
 or faster solving. Experiments on various benchmarks are conducted, compar
 ing our approach to popular methods like Qiskit and tket. Remarkably, our 
 method achieves the optimal solutions for almost all instances in the QUEK
 O benchmark, outperforming other solvers significantly. Furthermore, we de
 monstrate our approach's superior performance in various instances when co
 mpared to other application-specific quantum circuits.\n\nTag: Quantum Com
 puting, Software Engineering\n\nRegistration Category: Workshop Reg Pass\n
 \nSession Chairs: Yuri Alexeev (NVIDIA Corporation); Bert de Jong (Lawrenc
 e Berkeley National Laboratory (LBNL)); Travis Humble (Oak Ridge National 
 Laboratory (ORNL), Quantum Science Centre); Dmitry Liakh (NVIDIA Corporati
 on); Hausi Muller (University of Victoria, British Columbia; IEEE Quantum 
 Week); and Ojas Parekh (Sandia National Laboratories)\n\n
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