Decoherence Rate Problem Challenges Orch-OR Quantum Consciousness Claims — E8 Intelligence Research

FINDING: The core mathematical content across these sources is the **decoherence rate problem** for Orch-OR — the claim that microtubules can sustain quantum coherence at biological timescales (~10⁻¹³ to 10⁻¹⁰ s for typical molecular systems at 300 K, versus the ~10⁻⁴ to 10⁻¹ s needed for consciousness-relevant processing). The arXiv paper on cellular automata classification is the only mathematically rigorous item, providing a taxonomy of rule-space symmetries. MATH: - Decoherence timescale: τ_dec ≈ ħ² / (k_B T E_reorg) — for tubulin dimers, E_reorg ~ 0.1–1 eV, T = 310 K → τ_dec ~ 10⁻¹³–10⁻¹⁰ s. Orch-OR requires τ_coh > 10⁻⁴ s. Ratio of required to actual: **10⁶–10⁹** — a fundamental gap. - Cellular automata: Wolfram's 256 rules; classification via **equivalence classes under complementation and reflection** — reduces to 88 inequivalent rules. Wuensche's "glider" taxonomy uses **basins of attraction** — number of attractors scales as ~2^N for N-cell systems, with power-law distri Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-30
DOI
https://doi.org/10.5281/zenodo.23052610
Primary Topic
Cellular Automata and Applications
Type
preprint
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Decoherence Rate Problem Challenges Orch-OR Quantum Consciousness Claims — E8 Intelligence Research

Andrew Stewart Caldin
Zenodo (CERN European Organization for Nuclear Research)
Cellular Automata and Applications
preprint

Decoherence Rate Problem Challenges Orch-OR Quantum Consciousness Claims — E8 Intelligence Research

Andrew Stewart Caldin
preprint en

Abstract

FINDING: The core mathematical content across these sources is the **decoherence rate problem** for Orch-OR — the claim that microtubules can sustain quantum coherence at biological timescales (~10⁻¹³ to 10⁻¹⁰ s for typical molecular systems at 300 K, versus the ~10⁻⁴ to 10⁻¹ s needed for consciousness-relevant processing). The arXiv paper on cellular automata classification is the only mathematically rigorous item, providing a taxonomy of rule-space symmetries. MATH: - Decoherence timescale: τ_dec ≈ ħ² / (k_B T E_reorg) — for tubulin dimers, E_reorg ~ 0.1–1 eV, T = 310 K → τ_dec ~ 10⁻¹³–10⁻¹⁰ s. Orch-OR requires τ_coh > 10⁻⁴ s. Ratio of required to actual: **10⁶–10⁹** — a fundamental gap. - Cellular automata: Wolfram's 256 rules; classification via **equivalence classes under complementation and reflection** — reduces to 88 inequivalent rules. Wuensche's "glider" taxonomy uses **basins of attraction** — number of attractors scales as ~2^N for N-cell systems, with power-law distri Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

Zenodo (CERN European Organization for Nuclear Research)
Cellular Automata and Applications
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Decoherence Rate Problem Challenges Orch-OR Quantum Consciousness Claims — E8 Intelligence Research — Andrew Stewart Caldin · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS