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Summary: An Evaluation Framework and Instruction Set Architecture for
Ion-Trap based Quantum Micro-architectures.
Steven Balensiefer, Lucas Kregor-Stickles, and Mark Oskin
Department of Computer Science and Engineering
University of Washington
{alaska, lucasks, oskin}@cs.washington.edu
Abstract:
The theoretical study of quantum computation has yielded
efficient algorithms for some traditionally hard problems.
Correspondingly, experimental work on the underlying phys-
ical implementation technology has progressed steadily.
However, almost no work has yet been done which explores
the architecture design space of large scale quantum com-
puting systems. In this paper, we present a set of tools that
enable the quantitative evaluation of architectures for quan-
tum computers.
The infrastructure we created comprises a complete com-
pilation and simulation system for computers containing
thousands of quantum bits. We begin by compiling complete
algorithms into a quantum instruction set. This ISA enables
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