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Alternative paradigm for physical computing.

Ian Appelbaum1, J D Joannopoulos, V Narayanamurti

  • 1Department of Physics, Massachusetts Institute of Technology, Cambridge 02139, USA.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|January 7, 2003
PubMed
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Researchers discovered new physical systems capable of universal logic gates. Information processing in these systems relies on parameter cycling through a cusp catastrophe, demonstrated using magnetic memory.

Area of Science:

  • Physics
  • Materials Science
  • Information Theory

Background:

  • Universal logic gates are fundamental to computation.
  • Previous models often focus on electronic systems.
  • Understanding alternative physical implementations is crucial for advancing computing paradigms.

Purpose of the Study:

  • To identify and model a new class of physical systems capable of forming universal logic gates.
  • To analyze information processing within these systems using catastrophe theory.
  • To demonstrate a practical application using magnetic memory.

Main Methods:

  • Development of a model analogous to Si(100) surface dimers.
  • Analysis of fixed-point trajectories under parameter variation.
  • Application of catastrophe theory, specifically cusp-type catastrophes.

Related Experiment Videos

  • Construction of an example using magnetic memory.

    • Main Results:

    • Identification of a novel class of physical systems exhibiting universal logic gate functionality.
    • Demonstration that information processing arises from parameter cycling through a cusp catastrophe.
    • Successful application of the model to magnetic memory systems.

    Conclusions:

    • Physical systems beyond conventional electronics can perform universal computation.
    • Catastrophe theory provides a powerful framework for understanding information processing in physical systems.
    • The magnetic memory example validates the theoretical model for practical implementation.