Improving Quantum Gate Simulation using a GPU

Due to the increasing computing power of the graphics processing units (GPU), they are becoming more and more popular when solving general purpose algorithms. As the simulation of quantum computers results on a problem with exponential complexity, it is advisable to perform a parallel computation, s...

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Bibliographic Details
Published inInternational Electronic Conference on Computer Science (AIP Conference Proceedings Volume 1060) Vol. 1060; pp. 293 - 297
Main Authors Gutierrez, Eladio, Romero, Sergio, Trenas, Maria A, Zapata, Emilio L
Format Journal Article
LanguageEnglish
Published 01.01.2008
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ISBN0735405905
9780735405905
ISSN0094-243X
DOI10.1063/1.3037076

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Summary:Due to the increasing computing power of the graphics processing units (GPU), they are becoming more and more popular when solving general purpose algorithms. As the simulation of quantum computers results on a problem with exponential complexity, it is advisable to perform a parallel computation, such as the one provided by the SIMD multiprocessors present in recent GPUs. In this paper, we focus on an important quantum algorithm, the quantum Fourier transform (QTF), in order to evaluate different parallelization strategies on a novel GPU architecture. Our implementation makes use of the new CUDA software/hardware architecture developed recently by NVIDIA.
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ISBN:0735405905
9780735405905
ISSN:0094-243X
DOI:10.1063/1.3037076