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Related Experiment Video

Updated: Feb 15, 2026

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Quantum Mechanics predicts evolutionary biology.

J S Torday1

  • 1Department of Pediatrics, Harbor-UCLA Medical Center, 1224 W.Carson Street, Torrance, CA 90502, United States.

Progress in Biophysics and Molecular Biology
|January 17, 2018
PubMed
Summary

Quantum mechanics principles, including negentropy and homeostasis, offer insights into evolutionary biology. This research bridges physics and biology, explaining consciousness as a holistic integration.

Area of Science:

  • Quantum Biology
  • Evolutionary Biology
  • Biophysics

Background:

  • Conventional descriptive biology has limitations in explaining life's fundamental principles.
  • There is an ongoing effort to integrate Quantum Mechanics (QM) with evolutionary biology.
  • Understanding the physical basis of biological processes is crucial.

Purpose of the Study:

  • To explore the application of QM principles to evolutionary biology.
  • To merge QM with fundamental physiological principles like negentropy, chemiosmosis, and homeostasis.
  • To establish a causal continuum from physics to biology and evolution.

Main Methods:

  • Applying core concepts of Quantum Mechanics to biological systems.
  • Analyzing physiological principles (negentropy, chemiosmosis, homeostasis) through a physics lens.

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  • Examining QM principles such as the Pauli Exclusion Principle, non-localization, and the Heisenberg Uncertainty Principle for biological relevance.
  • Main Results:

    • Merging QM with physiological principles provides a framework for understanding biology's physical basis.
    • Negentropy and chemiosmosis introduce determinism at the unicellular level.
    • Homeostasis provides a probabilistic basis for physiological set points, analogous to Free Will.

    Conclusions:

    • Several QM principles directly apply to biological phenomena.
    • The Pauli Exclusion Principle exhibits both deterministic and probabilistic characteristics.
    • Non-localization and the Heisenberg Uncertainty Principle offer probabilistic insights, bridging physics and biology to explain consciousness as a holistic integration.