A Compositional Information-Theoretic Framework for Hybrid Quantum–Classical AI Safety
Abstract
603 — AxoDen-Q FoundationsThis paper presents an early AxoDen-Q research note for hybrid quantum-classical AI safety. It proposes three structural constraints: thermodynamic entropy budgets, epistemic influence bounds, and structural independence requirements. The document formulates candidate compositional bounds and identifies proof obligations needed to move from local stage constraints to system-level guarantees. It is a foundational research note, not an implementation guide. 604 — AxoDen-Q Systems & CertificationThis engineering companion interprets the AxoDen-Q safety envelope as runtime and certification architecture. It outlines a five-layer reference stack, monitoring targets, VSR-Q recovery patterns, CI/CD and policy-as-code controls, and a certification workflow sketch for high-assurance systems. Claims of correctness or assurance are design targets contingent on the companion theory and domain-specific validation. 605 — AxoDen-Q Technical AppendixThis technical appendix develops the broader compositional information-theoretic framework for hybrid classical and quantum AI safety. It covers EBDP, EFI, Q-EBDP, Q-EFI, compositional entropy bounds, model-influence constraints, fabrication-detection statistics, variational reconciliation, estimation approaches, certification protocols, runtime monitoring, and representative domain applications. Any case-study material should be read as protocol structure rather than measured deployment performance.
Fields of Study & Subjects
Safety Systems Engineering in Autonomy
Quantum Computing Algorithms and Architecture
Adversarial Robustness in Machine Learning
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 January 2026
- Language
- EN
- Document type
- Preprint