Incidental Coherence: An Evolutionary Interpretation of Quantum Signatures in Biological Systems
Abstract
This paper proposes an evolutionary interpretation of quantum signatures observed in biological systems. Rather than viewing quantum coherence as an actively maintained mechanism, this model treats such effects as incidental byproducts of evolved molecular geometries. The hypothesis reconciles the existence of ultrafast, coherence-like behavior in photosynthesis and magnetoreception with classical biochemical and thermodynamic constraints, offering a falsifiable bridge between quantum and evolutionary biology. The model predicts that quantum effects in biology are evolutionary artifacts of molecular optimization rather than functional imperatives.
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Incidental Coherence: An Evolutionary Interpretation of Quantum Signatures in Biological Systems Matthew Dominik (Hollis Black) Abstract This paper proposes an evolutionary interpretation of quantum signatures observed in biological systems. Rather than viewing quantum coherence as an actively maintained mechanism, this model treats such effects as incidental byproducts of evolved molecular geometries. The hypothesis reconciles the existence of ultrafast, coherence-like behavior in photosynthesis and magnetoreception with classical biochemical and thermodynamic constraints, offering a falsifiable bridge between quantum and evolutionary biology. 1. Introduction The field of quantum biology seeks to understand whether living systems maintain quantum coherence—entanglement, tunneling, or phase correlations—long enough to influence biological function. Classical expectations hold that such coherence decays nearly instantaneously in warm, wet conditions. Yet experimental results from photosynthetic complexes and avian magnetoreception suggest short-lived coherence that exceeds purely classical models. This paper advances the view that these effects are evolutionary legacies rather than functional imperatives. 2. Theoretical Framework In this framework, biological systems do not ‘harness’ quantum phenomena but occasionally exhibit them as the incidental outcome of extreme optimization under natural selection. When molecular architectures—such as pigment-protein complexes or cryptochrome radical pairs—are tuned to maximize energy or information transfer, they may transiently align with conditions conducive to quantum coherence. Evolution need not understand or maintain coherence for it to appear. The phenomenon thus reflects the geometry of optimization, not a new biological principle. 3. Predictions and Falsifiability (A) Systems showing apparent quantum coherence should retain efficiency under mild decoherence conditions, suggesting functionality is not dependent on sustained phase alignment. (B) Analogs evolved under similar pressures but distinct architectures should achieve comparable efficiency without measurable coherence. (C) Perturbations to molecular geometry should disrupt efficiency more strongly than environmental noise, indicating structural rather than quantum vulnerability. The model would be falsified if biological systems demonstrate active regulation of coherence or if removing coherence destroys their functional capacity entirely.
4. Discussion The incidental coherence model occupies a middle ground between quantum mysticism and strict classical reductionism. It preserves parsimony by attributing quantum-like effects to structural refinement rather than metaphysical necessity. This view aligns with evolutionary theory: life exploits physical regularities opportunistically, preserving efficient configurations even when their underlying physics transcends the organism’s design constraints. The persistence of quantum signatures, therefore, represents the conservation of geometry. 5. Conclusion Quantum coherence in biology may be less an active strategy than an emergent artifact of optimization. Evolution does not compute quantum algorithms, but it occasionally arrives at quantum-compatible solutions. This interpretation invites integrative studies where quantum signatures are analyzed as structural consequences of evolution, not as departures from it. Keywords: quantum biology, decoherence, evolutionary optimization, photosynthesis, magnetoreception, structural adaptation © 2025 Matthew Dominik (Hollis Black) — CC BY-NC 4.0