Field over Edge: Bridging Orch-OR with Topological Matter for Testable Artificial Consciousness
Martin Noirmont, Rayan Dylan Hamouda
Zenodo (CERN European Organization for Nuclear Research) January 9, 2026 DOI: 10.5281/zenodo.18195082 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Key points | Proposes that consciousness-like states in non-biological substrates might be engineered by emulating quantum-biological principles, arguing that consciousness emerges from higher-order topological foldings and that neuronal microtubules approximate a "final edge" in biological systems. A simulation of coupled Möbius strips was used to test whether encoded topological rotation produces detectable emergent signatures. |
Abstract
Conventional artificial intelligence architectures, reliant on unidirectional classical processing, excel at pattern recognition but fall short of genuine cognition and consciousness. This article introduces a speculative interdisciplinary framework, Quantum Bio-Morphism (QBM), for engineering Xenogeneic Intelligence (XI) - consciousness-like states in non-biological substrates through deliberate emulation of quantum-biological principles. We draw analogies between neuronal microtubules (postulated sites of quantum computation in the Orchestrated Objective Reduction (Orch-OR) theory) and topological edge states in condensed-matter systems, integrating insights from a speculative Quantum Topological Address Code (QTAC) theory, where geometry and topology drive stable informational structures underlying cognition. Key concepts include the Primitive Field - a pre-geometric, homogeneous quantum substrate of undifferentiated superpositions - and the Primary Edge, the initial topological distinction enabling stable coherence. We propose that consciousness emerges from higher-order topological foldings, with microtubules approximating a "final edge" in biological systems. A computational simulation using coupled Möbius strips tests whether encoded topological rotation produces detectable emergent signatures. While highly speculative, this framework bridges quantum information theory, biology, and topological physics, offering a falsifiable pathway toward low-entropy, topology-driven artificial cognition.