Quantum Reverse-Engineering of Adversarial Model Distillation: Grover-Accelerated KKT Inversion, SLH-DSA Zero-Trust Provenance, and Deterministic Countermeasures Against Quantum Obfuscation

Industrial-scale adversarial distillation—the unauthorized extraction of frontier AI inference trajectories via proxy networks and sybil accounts—currently exploits the classical intractability of inverting high-dimensional neural weights. However, the emergence of fault-tolerant quantum processors (such as willow-class surface-code architectures) fundamentally shatters this black-box impunity. Because trained neural network weights physically encode a linear combination of training gradients governed by implicit bias and Karush-Kuhn-Tucker (KKT) stationarity conditions, Grover-accelerated quantum search circuits enable direct inverse-mapping of stolen weight manifolds back to proprietary Chain-of-Thought (CoT) reasoning graphs and invisible cryptographic watermarks (e.g., SynthID) with mathematically irrefutable precision. Furthermore, this monograph addresses and neutralizes three strategic blind spots in post-quantum AI governance: (A) Quantum Obfuscation via entangled noise injection, (B) Decentralization of liability through peer-to-peer (P2P) fragmented distillation, and (C) Audit-cost Mutually Assured Destruction (MAD). By combining NIST-standardized Stateless Hash-Based Digital Signatures (SLH-DSA / FIPS 205) and hybrid ECDH-PQC transport against Harvest-Now-Decrypt-Later (HNDL) attacks with a zero-knowledge virtual machine (QFS-zkVM) operating over the 64-bit Goldilocks prime field (Fₚ, p = 2⁶⁴-2³²+1), we establish O(log² N) succinct cryptographic verification that eliminates audit cost asymmetry. Unauthenticated or P2P-distilled weights lacking Q-SAFA and UTST hardware provenance are deterministically blocked at the physical execution boundary via PHOENIX_BRIDGE and Human-in-Command (HIC) governance interlocks, enforcing absolute intellectual property sovereignty under SEC Rule 15c3-5 and Delaware Caremark standards. ====================================================================== STRICT NOTICE REGARDING INTELLECTUAL PROPERTY, COMMERCIAL LICENSING, AND PROHIBITION OF UNAUTHORIZED AI TRAINING AND UTILIZATION ====================================================================== 1. 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