Simulated execution of hybrid quantum computing systems

Travis S. Humble, Ronald J. Sadlier, Keith A. Britt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We use modeling and simulation to study the behavior and performance of hybrid quantum computing systems. Our approach is based on a layered design with abstract machine models, which identify the key components and interfaces for quantum processing units, quantum programming models, and hybrid execution models. We use discrete-event simulating to track the dynamical state of hierarchical abstract machine models while executing test programs, and we collect statistics on time and energy consumption to forecast the resources required by quantum processors for future scientific computation.

Original languageEnglish
Title of host publicationQuantum Information Science, Sensing, and Computation X
EditorsEric Donkor, Michael Hayduk
PublisherSPIE
ISBN (Electronic)9781510618312
DOIs
StatePublished - 2018
EventQuantum Information Science, Sensing, and Computation X 2018 - Orlando, United States
Duration: Apr 18 2018Apr 19 2018

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10660
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceQuantum Information Science, Sensing, and Computation X 2018
Country/TerritoryUnited States
CityOrlando
Period04/18/1804/19/18

Keywords

  • Abstract Machine Models
  • Modeling and Simulation
  • Quantum Computing

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