The Quantum-Biological Intelligence Stack: A Layered Reference Architecture for Hybrid Intelligent Systems

This whitepaper proposes a six-layer reference architecture for hybrid intelligent systems — the Quantum-Biological Intelligence Stack (QBI Stack) — and operationalises it as a design framework called QANTIS (Quantum-Augmented Neurobiological Intelligence System). Public discourse about artificial intelligence has flattened into a discussion of one technology: large language models. The actual frontier of intelligent-systems research is broader. Across 2024–2026, mature engineering progress has appeared simultaneously in foundation-model AI, neuromorphic computing, quantum computing and quantum sensing, quantum biology, brain–computer interfaces, and neurotechnology ethics. Each programme operates inside its own literature; the interfaces between them are largely unmapped. The architecture organises six layers (Quantum/Physics, Biology, Neuromorphic, Agentic AI, Human Interface, Governance), names what each layer contributes and what it does not, specifies the interfaces between adjacent layers, and identifies five composition patterns that recur in 2024–2026 prototypes. The whitepaper distinguishes three evidence tiers throughout (solidly supported, active research, contested speculation) and is explicit about the limits of each layer in the present state of the art. We argue that the next decade of intelligent-systems engineering will be defined by hybrid architectures that compose multiple QANTIS layers, and that designing such systems deliberately — with explicit interfaces and governance treated as a first-class layer — will produce safer, more useful, and more equitable systems than allowing the architecture to assemble itself by accident. Companion volume. The book-length treatment, Quantum-Bio Intelligence: A New Mind Architecture for the Age of AI, Biology, and Quantum (Eker, 2026), develops each layer at chapter length. Published May 2026 — available on Amazon in paperback (ASIN 6250058788, 29. 99) and Kindle (9. 99) editions. (1) A six-layer reference architecture with explicit definitions; (2) a taxonomy of inter-layer interfaces; (3) five composition patterns and five cross-layer failure modes; (4) a three-tier discipline separating solidly supported claims from active research and from contested speculation.