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Parallel computing with extended dynamical systems.

Sudeshna Sinha1, Toshinori Munakata, William L Ditto

  • 1The Institute of Mathematical Sciences, C.I.T. Campus, Chennai 600 113, India.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 23, 2002
PubMed
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This study explores parallelism in extended dynamical systems, using chaotic elements. Researchers rapidly solved the Deutsch-Jozsa problem by leveraging the collective properties of these systems.

Area of Science:

  • Computational physics
  • Quantum information science

Background:

  • Dynamical systems offer a framework for modeling complex behaviors.
  • Parallelism is crucial for accelerating computational tasks.

Purpose of the Study:

  • To investigate the potential of extended dynamical systems for parallel computation.
  • To demonstrate a practical application of chaotic elements in solving computational problems.

Main Methods:

  • Utilizing arrays of chaotic elements within extended dynamical systems.
  • Applying collective properties of these systems to a specific computational problem.

Main Results:

  • Achieved rapid solution of the Deutsch-Jozsa problem.
  • Demonstrated the effectiveness of chaotic elements in parallel processing.

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Conclusions:

  • Extended dynamical systems, particularly those with chaotic elements, provide a viable approach to parallelism.
  • Collective properties of these systems can be harnessed for efficient computation, as shown by the Deutsch-Jozsa problem solution.