Qts presentation

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Slide 0 – Title & ContextLF Yadda – A Blog About Life

  • Toward a Quantum-Teleodynamic Synthesis (QTS)
  • Integrating quantum biology with information-driven thermodynamics
  • 5 000-word paper by Frank Schmidt (LF Yadda, 1 May 2025)

Slide 1 – Why a New Synthesis?LF Yadda – A Blog About Life

  • Classical thermodynamics explains energy flow, not adaptive information
  • Molecular biology details genes, not their quantum kinetics
  • Two fast-moving fronts:
    • Quantum biology ⇒ coherence, tunnelling & entanglement are functional in vivo
    • Information-thermodynamics ⇒ driven matter self-optimises dissipation by encoding environmental regularities

Slide 2 – QTS in One SentenceLF Yadda – A Blog About LifeLF Yadda – A Blog About Life

  • Life = open quantum information engine that minimises a variational functional coupling:
    1. Energy dissipation (exported entropy)
    2. Actionable information stored in molecular programs
    3. Coherence cost paid to keep quantum effects alive
  • Minimisation yields teleodynamic attractors → statistically goal-directed behaviour without an external designer

Slide 3 – Quantum-Biological EvidenceLF Yadda – A Blog About Life

  • Photosynthesis (FMO complex): long-lived excitonic coherence directs energy transfer (> 95 % yield)
  • Magnetoreception: spin-correlated radical pairs in cryptochrome proteins act as geomagnetic compass
  • Enzyme PCET: proton/electron tunnelling lowers barriers in flavin & heme enzymes
  • Neuronal microtubules: models suggest collective GHz–THz dipole oscillations

Slide 4 – Information & Non-Equilibrium DynamicsLF Yadda – A Blog About LifeLF Yadda – A Blog About Life

  • Prigogine: dissipative structures form only under sustained energy flux
  • Jeremy England: periodic driving biases matter toward states that maximise work absorption & dissipation
  • Terrence Deacon: teleodynamics—constraints that preserve themselves by off-loading entropy
  • Information theory: local Shannon-entropy reduction balanced by exported Boltzmann entropy → natural selection as algorithmic compression

Slide 5 – Three Interlocking Pillars of QTSLF Yadda – A Blog About Life

PillarPhysical AssetSelective DriverFunctional Outcome
IQuantum-coherent substrateHigh reaction rates at low activation energyUltrafast, low-loss kinetics
IIInformation-thermodynamic ratchet (DNA, proteins, neural wiring)Maximise entropy-per-bit exportProgressive compression of adaptive code
IIIFeedback constraints coupling I & IIMinimise free-energy–information–coherence functionalEmergent teleodynamics

Slide 6 – The Variational FunctionalLF Yadda – A Blog About Life

  • 𝔽[ρ(t)] = ⟨Ṡ_env⟩ – α I[ρ(t)] + β C[ρ(t)]
    • ⟨Ṡ_env⟩ = entropy exported to surroundings
    • I[ρ] = stored actionable information (Shannon / algorithmic)
    • C[ρ] = coherence cost (e.g., quantum Fisher information)
  • Attractors that minimise 𝔽 dissipate energy quickly, store useful information, and ration coherence → purpose-like drift emerges statistically

Slide 7 – Case Study 1: Photosynthetic Energy TransportLF Yadda – A Blog About Life

  • Excitons in FMO remain coherent ~300–400 fs at 300 K
  • Environment-assisted quantum transport funnels solar energy with > 95 % yield
  • Raising β (coherence cost) or lowering α (info value) in silico reproduces efficiency drops seen in mutants

Slide 8 – Case Study 2: Avian MagnetoreceptionLF Yadda – A Blog About Life

  • Cryptochrome-4 radical pairs show nanosecond spin coherence at geomagnetic strengths
  • Spin-state population encodes directional information → guides neuronal firing
  • Flavin mutations degrade coherence & navigation accuracy, matching QTS fitness landscape

Slide 9 – Case Study 3: ATP SynthaseLF Yadda – A Blog About Life

  • Rotary F₀F₁ enzyme couples proton tunnelling to 120° mechanical steps (~90 % efficiency)
  • Geometry compresses algorithmic complexity: one axle synchronises three catalytic sites
  • Evolutionary canalisation occurs where higher ⟨Ṡ_env⟩ and I[ρ] are achieved at modest coherence cost

Slide 10 – Case Study 4: Microtubule Coherence & Predictive CodingLF Yadda – A Blog About Life

  • Tubulin dipoles poised near self-organised criticality support GHz–THz phonons
  • Could time-gate synaptic vesicle release → Bayesian predictive coding in cortex
  • QTS predicts weak RF spin-noise perturbations will shift mismatch-negativity amplitudes without metabolic stress

Slide 11 – Predictions & Experimental RoadmapLF Yadda – A Blog About Life

  • Origin-of-life reactors: transient THz coherence on mineral surfaces ⇒ test with ultrafast spectroscopy
  • Synthetic biology: radical-pair sensors + DNA logic gates self-adapt under 100 µT rotating fields
  • Neuroscience: Larmor-frequency RF should modulate cortical spin-correlated ROS & MMN signals
  • Phylogenetics: bursts of protein innovation align with high-flux geological epochs

Slide 12 – Broader ImplicationsLF Yadda – A Blog About Life

  • Abiogenesis: high probability wherever sustained gradients + coherence-friendly matrices coexist (Europa, Titan)
  • Quantum-inspired tech: biomimetic sensors, excitonic photovoltaics, tunnel-engineered catalysts
  • Philosophy of mind & AI: teleodynamics bridges matter and agency; guides design of embodied, quantum-sensor AIs
  • Ethics & governance: editing genomes or ecosystems effectively tunes α & β, steering systems toward/away from teleodynamic attractors

Slide 13 – ConclusionLF Yadda – A Blog About Life

  • QTS unites quantum kinetics with information thermodynamics under a single variational principle
  • Life emerges as the statistically favoured balance of energy dissipation, algorithmic compression & affordable coherence
  • Provides testable hypotheses and a roadmap for harnessing living quantum devices in technology, medicine, and astrobiology

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