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GPU-Based Parallel Algorithms for Transformations of Quantum States Expressed as Vectors and Density Matrices

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Parallel Processing and Applied Mathematics (PPAM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7203))

Abstract

In this paper the parallel algorithms to simulate measurements and unitary operations in the quantum computing model are presented. The proposed solutions are implemented using the CUDA technology. Moreover, a more effective routine for processing density matrices is presented. The main advantages of this approach are the reduced memory requirement and a good use of the computing power of the GPU hardware. Additionally, the proposed solution can be used to simulate circuits build from qubits or qudits.

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Sawerwain, M. (2012). GPU-Based Parallel Algorithms for Transformations of Quantum States Expressed as Vectors and Density Matrices. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2011. Lecture Notes in Computer Science, vol 7203. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31464-3_22

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  • DOI: https://doi.org/10.1007/978-3-642-31464-3_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31463-6

  • Online ISBN: 978-3-642-31464-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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