HIOF • Quantum Biodynamics — Paper II: Open Quantum Biological Systems

Abstract

HIOF: Quantum Biodynamics (HIOF-QB) A Seven-Paper Series on When a Quantum Event Becomes Biological Function This is a short, non-technical companion to the 7-paper QB series (QB 0 to QB VI). It is written for readers with a background in quantum biology, biophysics, chemical physics, or systems biology. It is not written for readers already familiar with the author's wider HIOF framework. The core idea, stated plainly The series asks one disciplined question: under what conditions does a microscopic quantum effect change a measurable biological outcome? A quantum term counts as biologically functional only if it changes a rate or yield in a specified model. That change must then travel through a traceable chain of amplification into organism-level function. It must also beat a competitive classical alternative. Quantum effects that merely exist in a living system do not qualify. Why "quantum biology" is not a resource inventory Finding tunnelling, coherence, or spin dynamics in a biomolecule does not show that biology depends on it. The series uses a graded evidence ladder, counterfactual ablation (what happens if the quantum term is removed or altered?), and strong classical baselines. Mature, contested, and programmatic cases are kept strictly apart. Open systems, not isolated ones Living matter is warm, wet, and noisy. The series builds one shared modelling frame: system, environment, spectral density, and fast and slow timescales. Three modules sit inside it: hydrogen tunnelling in enzymes, radical-pair spin chemistry, and excitation transfer in light harvesting. No single formula is claimed to unify them. From reaction networks to evolvable individuals Boundary, self-maintenance, and heredity are treated as working conditions for an evolvable individual, not as a proof of life. Selection acts on differences in survival and reproduction. The environment does not direct which variants arise. Autocatalytic organisation and compartment division are discussed with their known limits. How a quantum term enters biological function A small molecular difference matters only if it is amplified by catalysis, cooperativity, thresholds, or feedback, and if it is not drowned in noise. The series gives practical tests for each link: mediation, blocking, rescue, and independent measurement. Neural systems read amplified signals The brain does not read a quantum state directly. It reads signals that have already been amplified and processed. Predictive and precision-weighted models are treated as candidate models to be compared with feedforward and other alternatives, not as settled theory. Avian magnetoreception is discussed as a test case. The series explicitly excludes any reverse quantum causation from mind to molecule. Empirical protocols and death conditions The final paper turns the framework into experiments. It sets out benchmark protocols for enzymatic hydrogen transfer, radical-pair magnetoreception, and photosynthetic energy transfer. It also specifies model comparison, replication standards, and explicit death conditions, meaning results that would falsify or retire a claim. What the series covers QB 0: scope, vocabulary, evidence ladder, series architecture QB I: evidence grading, ablation, classical baselines QB II: open quantum biological systems QB III: boundaries, self-maintenance, heredity QB IV: yield, amplification, thresholds, causal chains QB V: neural readout, prediction, precision weighting QB VI: empirical protocols and death conditions A note on method The series keeps three registers separate: published empirical evidence, original theoretical proposals, and narrative or metaphorical language. HIOF terms are used as removable interpretive labels. The physical claims must stand without them. Readers should treat theoretical claims as falsifiable hypotheses, not as settled fact. Keywords: quantum biology, open quantum systems, radical pair, magnetoreception, enzyme tunnelling, photosynthetic energy transfer, decoherence, amplification, predictive processing, falsifiability, counterfactual ablationAuthorWai-Hung Tam (Pan), Independent ResearcherORCID: 0009-0002-7789-8464Email: panxtam@protonmail.com