VoidScout V7: A Chimeric Search Algorithm for Autonomous Information Retrieval via Quantum-Enhanced Semantic Fusion

VoidScout V7 proposes a chimeric search algorithm that bridges fantasy logic and real-world industrial structures to address the "dimensional crisis" of traditional information retrieval. Breaking through the limitations of Boolean logic-based frameworks, this algorithm reconstructs the retrieval paradigm by integrating quantum statistical mechanics, non-equilibrium physics, and self-organization system theory. Its core innovations include a Quantum Entanglement Core (QEC) enabling near-instantaneous correlation in high-dimensional spaces, dynamic weight burst mechanisms for adaptive semantic adjustment, and physical anchoring (89-dimensional TF-IDF matrix + 12 anchors) combined with bidirectional equivalent exchange verification to eliminate hallucinatory outputs. The system supports CLI operation and multiple advanced modules (Quantum, Autonomous, Cloak, Clone), demonstrating superior performance in weak signal aggregation, historical state rollback, and noise isolation. Experimental results show its effectiveness in enterprise search, cybersecurity, patent analysis, and other fields, redefining information retrieval from a tool to a self-organizing information ecosystem.