Quantum-Classical Synthesis of Consciousness A Comprehensive Five-Layer Architecture Integrating Orchestrated Objective Reduction, Quantum Coherence Modulation, and Classical Neural Network Dynamics with Fifteen Empirically Testable Predictions
Zenodo (CERN European Organization for Nuclear Research) January 23, 2026 DOI: 10.5281/zenodo.18090258 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Argues that quantum and classical theories of consciousness operate at different spatiotemporal scales and are complementary rather than competing, and proposes a unified five-layer hierarchical framework with derived transduction mechanisms, quantum simulations calibrated against photosynthetic systems, and falsifiable predictions to test the synthesis. |
Abstract
Contemporary consciousness science confronts profound theoretical fragmentation. Quantum theories of consciousness (particularly Orchestrated Objective Reduction, (Orch-OR), quantum biology frameworks (coherence modulation in biological systems), and classical neuroscience approaches (Global Neuronal Workspace, Integrated Information Theory) have developed largely in isolation, often viewed as mutually exclusive competitors rather than potentially complementary descriptions of a multi-scale phenomenon. This fragmentation has impeded scientific progress and fostered unproductive debates. We argue that this apparent conflict stems from a failure to recognize that these theories operate at fundamentally different spatiotemporal scales and address qualitatively distinct aspects of the consciousness problem.
Objectives: This paper presents the first comprehensive, empirically testable synthesis of these approaches within a unified five-layer hierarchical architecture. Our primary objectives are: (1) to demonstrate that quantum foundations (Orch-OR), quantum coherence modulation, and classical neural computation are complementary rather than competing; (2) to derive explicit mathematical transduction mechanisms linking adjacent scales; (3) to resolve the decoherence objection through rigorous quantum simulations calibrated against photosynthetic systems; and (4) to generate specific, falsifiable predictions that distinguish this unified framework from its component theories.
Methods: We formalize transduction mechanisms between adjacent hierarchical scales using first-principles physics, statistical mechanics, and network theory. We derive quantitative coupling constants—most notably the “Perry Constant” (κ)—that govern quantum-to-classical information transfer. We conduct quantum Monte Carlo simulations of coherence dynamics calibrated against empirical measurements from photosynthetic light-harvesting complexes, demonstrating realistic protection mechanisms against thermal decoherence. We develop detailed experimental pro-tocols integrating nitrogen-vacancy (NV) center quantum sensing, multi-electrode array electrophysiology, and consciousness assessment methodologies.