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Biological information processing requires quantum logic.

T Oi1

  • 1Central Research Laboratory, Hitachi, Ltd., Tokyo, Japan.

Zeitschrift Fur Naturforschung. C, Journal of Biosciences
|September 1, 1988
PubMed
Summary

Biological information processing utilizes chaos dynamics, generating information over time. A macroscopic uncertainty principle analogous to quantum physics suggests quantum logic may govern these chaotic systems.

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Area of Science:

  • Complex Systems
  • Biophysics
  • Quantum Physics

Background:

  • Chaos dynamics are fundamental to biological information processing and system development.
  • A macroscopic uncertainty principle exists between observation time and phase space volume in these systems.
  • This principle mirrors the microscopic uncertainty principle in quantum physics.

Purpose of the Study:

  • To explore the relationship between chaos dynamics in biological systems and quantum principles.
  • To investigate if quantum logic can explain macroscopic phenomena governed by chaos dynamics.

Main Methods:

  • Comparative analysis of macroscopic uncertainty in chaotic biological systems.
  • Analogical reasoning by correlating principles of quantum physics with chaos dynamics.

Main Results:

  • A macroscopic uncertainty principle was identified in chaos-driven biological information processing.
  • This principle demonstrates a direct correspondence with the microscopic uncertainty principle in quantum mechanics.
  • The findings suggest a potential role for quantum logic in governing macroscopic chaotic phenomena.

Conclusions:

  • Chaos dynamics in biological systems exhibit an uncertainty principle analogous to quantum mechanics.
  • Quantum logic may provide a framework for understanding macroscopic phenomena in chaotic biological systems.
  • This interdisciplinary link opens new avenues for research in biophysics and quantum information theory.

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