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Published on: August 2, 2019
Quantum computation in brain microtubules: decoherence and biological feasibility
S Hagan1, S R Hameroff, J A Tuszyński
1Department of Mathematics, British Columbia Institute of Technology, Burnaby, British Columbia, Canada V5G 3H2.
Summary
Quantum computations in brain microtubules may be possible. This study revises decoherence times, suggesting quantum effects in neurons could be neurophysiologically relevant.
Area of Science:
- Neuroscience
- Quantum Biology
- Biophysics
Background:
- The Penrose-Hameroff orchestrated objective reduction (orch. OR) model proposes quantum computations in brain microtubules are linked to consciousness.
- Previous criticisms, notably by Tegmark, suggested microtubules decohere too rapidly for neurophysiological relevance (10^-13 s).
Purpose of the Study:
- To critically examine decoherence mechanisms in microtubules within a biological context.
- To re-evaluate the timescale of quantum coherence in microtubules relevant to the orch. OR model.
Main Methods:
- Re-calculation of decoherence times based on the specific parameters of the orch. OR model, correcting for discrepancies in Tegmark's analysis.
- Analysis of biological factors influencing decoherence, including metabolic energy, counterion screening, and actin gel effects.
- Consideration of topological quantum computation for error correction.
Main Results:
- Corrected decoherence times are significantly longer (10^-5–10^-4 s), challenging Tegmark's conclusions.
- Biological factors like metabolic energy and microtubule-associated structures can actively counter decoherence.
- Tegmark's model shows counterintuitive temperature dependence and inappropriate approximation regimes for orch. OR.
Conclusions:
- Microtubule decoherence times are potentially long enough for neurophysiological relevance.
- The orch. OR model's quantum computations may be shielded from environmental decoherence by biological mechanisms.
- Quantum gravity interactions with neurophysiology are plausible within the revised decoherence framework.
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