Simulation and verification II: simulating quantum computing: quantum express

  • Authors:
  • Kareem S. Aggour;Renee Guhde;Melvin K. Simmons;Michael J. Simon

  • Affiliations:
  • One Research Circle, Niskayuna, NY;One Research Circle, Niskayuna, NY;One Research Circle, Niskayuna, NY;Lockheed Martin Space Systems Company Denver, CO

  • Venue:
  • Proceedings of the 35th conference on Winter simulation: driving innovation
  • Year:
  • 2003

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Abstract

Quantum Computing (QC) research has gained a lot of momentum recently due to several theoretical analyses that indicate that QC is significantly more efficient at solving certain classes of problems than classical computing. While experimental validation will ultimately be required, the primitive nature of current QC hardware leaves practical testing limited to trivial examples. Thus, a robust simulator is needed to study complex QC issues. Most QC simulators model ideal operations, and thus cannot predict the actual time required to execute an algorithm or quantify the effects of errors in the calculation. We have developed a novel QC simulator that models physical hardware implementations. This simulator not only allows the accurate simulation of quantum algorithms on various hardware implementations, but also takes an important step towards providing a framework to determine their true performance and vulnerability to errors.