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Noise tolerant spatiotemporal chaos computing.

Behnam Kia1, Sarvenaz Kia1, John F Lindner2

  • 1Department of Physics and Astronomy, University of Hawaii at Manoa, Honolulu, Hawaii 96822, USA.

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Summary
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This study presents a noise-tolerant chaos computing system using coupled map lattices (CML). The CML design enhances robustness by diffusing and attenuating noise across the system, improving computational architecture.

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Area of Science:

  • Complex Systems
  • Computational Science
  • Nonlinear Dynamics

Background:

  • Chaos computing utilizes the properties of chaotic systems for computation.
  • Single-map chaos computing systems are susceptible to noise, limiting their reliability.
  • Coupled dynamical systems possess inherent noise reduction capabilities.

Purpose of the Study:

  • To introduce and design a novel noise-tolerant chaos computing system.
  • To leverage the noise reduction properties of coupled dynamical systems.
  • To enhance the robustness of chaos computing architectures against noise.

Main Methods:

  • Design of a chaos computing system based on a coupled map lattice (CML).
  • Utilizing the inherent noise reduction capabilities within coupled dynamical systems.
  • Analyzing the spatiotemporal dynamics of the CML for noise attenuation.

Main Results:

  • The developed spatiotemporal chaos computing system demonstrates increased robustness to noise.
  • Noise introduced at local nodes diffuses and attenuates across the lattice.
  • The CML-based system exhibits less noise content compared to single-map systems.

Conclusions:

  • Coupled map lattices provide a robust architecture for chaos computing.
  • The diffusion and attenuation of noise in CML enhance computational reliability.
  • This approach offers a more resilient chaos computing system design.