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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.