Quantum Computing and the Ontological Bridge: Implications for AGI in the Metamonism Framework

Quantum computing promises to revolutionize computation by leveraging superposition, entanglement, and quantum interference. This paper examines whether it can bridge the ontological divide between processual reality (Monos) and representational structures (Logos) in the context of Artificial General Intelligence (AGI). Drawing on Metamonism CORE = v1.3, we argue that quantum systems, as currently conceived, accelerate stabilization rather than prevent it, remaining trapped in Logos-dominant paradigms. We distinguish the illusion of an ontological bridge—where quantum processuality serves classical fixation—from a genuine integration that could enable enforced Unfold. While quantum dynamics approximates Monos, measurement enforces Logos, making quantum computing a more efficient optimizer rather than a pathway to non equilibrium cognition. This analysis reframes quantum computing not as an AGI enabler but as a test case for ontological viability in intelligence research and establishes it as a prime example of accelerated fixation, disqualifying it from consideration as a foundation for non-equilibrium cognition.