Quantigence: A Multi-Agent AI Framework for Quantum Security Research

• URL: http://arxiv.org/abs/2512.12989v1
• Date: Mon, 15 Dec 2025 05:27:10 GMT
• Title: Quantigence: A Multi-Agent AI Framework for Quantum Security Research
• Authors: Abdulmalik Alquwayfili,
• Abstract summary: Cryptographically Relevant Quantum Computers (CRQCs) pose a structural threat to the global digital economy.<n>We present Quantigence, a theory-driven multi-agent AI framework for structured quantum-security analysis.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Cryptographically Relevant Quantum Computers (CRQCs) pose a structural threat to the global digital economy. Algorithms like Shor's factoring and Grover's search threaten to dismantle the public-key infrastructure (PKI) securing sovereign communications and financial transactions. While the timeline for fault-tolerant CRQCs remains probabilistic, the "Store-Now, Decrypt-Later" (SNDL) model necessitates immediate migration to Post-Quantum Cryptography (PQC). This transition is hindered by the velocity of research, evolving NIST standards, and heterogeneous deployment environments. To address this, we present Quantigence, a theory-driven multi-agent AI framework for structured quantum-security analysis. Quantigence decomposes research objectives into specialized roles - Cryptographic Analyst, Threat Modeler, Standards Specialist, and Risk Assessor - coordinated by a supervisory agent. Using "cognitive parallelism," agents reason independently to maintain context purity while execution is serialized on resource-constrained hardware (e.g., NVIDIA RTX 2060). The framework integrates external knowledge via the Model Context Protocol (MCP) and prioritizes vulnerabilities using the Quantum-Adjusted Risk Score (QARS), a formal extension of Mosca's Theorem. Empirical validation shows Quantigence achieves a 67% reduction in research turnaround time and superior literature coverage compared to manual workflows, democratizing access to high-fidelity quantum risk assessment.

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