• DocumentCode
    1654576
  • Title

    Minimizing the latency of quantum circuits during mapping to the ion-trap circuit fabric

  • Author

    Dousti, Mohammad Javad ; Pedram, Massoud

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2012
  • Firstpage
    840
  • Lastpage
    843
  • Abstract
    Quantum computers are exponentially faster than their classical counterparts in terms of solving some specific, but important problems. The biggest challenge in realizing a quantum computing system is the environmental noise. One way to decrease the effect of noise (and hence, reduce the overhead of building fault tolerant quantum circuits) is to reduce the latency of the quantum circuit that runs on a quantum circuit. In this paper, a novel algorithm is presented for scheduling, placement, and routing of a quantum algorithm, which is to be realized on a target quantum circuit fabric technology. This algorithm, and the accompanying software tool, advances state-of-the-art in quantum CAD methodologies and methods while considering key characteristics and constraints of the ion-trap quantum circuit fabric. Experimental results show that the presented tool improves results of the previous tool by about 41%.
  • Keywords
    network routing; particle traps; quantum computing; scheduling; ion-trap quantum circuit fabric; quantum CAD methodology; quantum algorithm; quantum circuit fabric technology; quantum circuit latency minimization; quantum circuit routing; quantum circuit scheduling; quantum computers; quantum computing system; Computers; Delay; Fabrics; Junctions; Logic gates; Quantum computing; Routing; CAD tool; ion-trap technology; placement; quantum computing; routing; scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design, Automation & Test in Europe Conference & Exhibition (DATE), 2012
  • Conference_Location
    Dresden
  • ISSN
    1530-1591
  • Print_ISBN
    978-1-4577-2145-8
  • Type

    conf

  • DOI
    10.1109/DATE.2012.6176612
  • Filename
    6176612