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Proceedings Paper • Open Access

Simulated execution of hybrid quantum computing systems
Author(s): Travis S. Humble; Ronald J. Sadlier; Keith A. Britt

Paper 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.

Paper Details

Date Published: 14 May 2018
PDF: 9 pages
Proc. SPIE 10660, Quantum Information Science, Sensing, and Computation X, 1066002 (14 May 2018); doi: 10.1117/12.2303824
Show Author Affiliations
Travis S. Humble, Oak Ridge National Lab. (United States)
Univ. of Tennessee (United States)
Ronald J. Sadlier, Oak Ridge National Lab. (United States)
Univ. of Tennessee (United States)
Keith A. Britt, Oak Ridge National Lab. (United States)
Univ. of Tennessee (United States)


Published in SPIE Proceedings Vol. 10660:
Quantum Information Science, Sensing, and Computation X
Eric Donkor; Michael Hayduk, Editor(s)

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