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GPU: Accelerated Computation Routines for Quantum Trajectories Method

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Numerical Computations with GPUs

Abstract

The chapter describes a Monte Carlo method’s implementation for analyzing the dynamics of open quantum systems—so-called quantum trajectories method. The discussed implementation is realized with use of the CUDA technology. It should be pointed out that using GPU in this approach allows to increase the performance of the quantum trajectories method’s simulation.

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Acknowledgements

We would like to thank for useful discussions with the Q-INFO group at the Institute of Control and Computation Engineering (ISSI) of the University of Zielona Góra, Poland. We would like also to thank to anonymous referees for useful comments on the preliminary version of this chapter. The numerical results were done using the hardware and software available at the “GPU μ-Lab” located at the Institute of Control and Computation Engineering of the University of Zielona Góra, Poland.

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Authors and Affiliations

  1. Institute of Information Systems, Faculty of Cybernetics, Military University of Technology, Kaliskiego 2, 00-908, Warsaw, Poland

    Joanna Wiśniewska

  2. Institute of Control and Computation Engineering, University of Zielona Góra, Licealna 9, Zielona Góra, 65-417, Poland

    Marek Sawerwain

Authors
  1. Joanna Wiśniewska
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  2. Marek Sawerwain
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Correspondence to Marek Sawerwain .

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Editors and Affiliations

  1. National Center for Supercomputing Applications, University of Illinois, Urbana, Illinois, USA

    Volodymyr Kindratenko

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Wiśniewska, J., Sawerwain, M. (2014). GPU: Accelerated Computation Routines for Quantum Trajectories Method. In: Kindratenko, V. (eds) Numerical Computations with GPUs. Springer, Cham. https://doi.org/10.1007/978-3-319-06548-9_14

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  • DOI: https://doi.org/10.1007/978-3-319-06548-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06547-2

  • Online ISBN: 978-3-319-06548-9

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