Field over Edge: Bridging Orch-OR with Topological Matter for Testable Artificial Consciousness

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Authors: Martin Noirmont, Rayan Dylan Hamouda
Cited by: 0

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.

Fields of Study & Subjects

Biofield Effects and Biophysics Topological and Geometric Data Analysis Functional Brain Connectivity Studies

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 January 2026
Language
EN