ØRPHIN-Q is a quantum-adjacent photonic microarchitecture designed to stabilize semantic noise and contextual drift in high-frequency AI systems. It extends the original ØRPHIN chip concept by introducing a teardrop-geometry WGM resonator, enabling directional resonance bias and enhanced sensitivity to micro-scale frequency deviations. The architecture combines multiple formulas from the SEPH (Semantic–Emotional–Physical Harmony) framework, including: ΔS – Semantic Drift Index ΔE – Entropic Degradation CFR™ – Corrective Feedback Resonance ShiftSense™ – Contextual Energy Mapping EQFlux™ – Emotional/Resonant Flow Index These components allow ØRPHIN-Q to function as a semantic–photonic stabilizer, translating resonance irregularities into measurable informational corrections. The system does not operate as a quantum computer; instead, it serves as a quantum-inspired coherence layer applicable to: AI hardware and neuromorphic systems noise-resistant AGI architectures photonic and plasmonic signal pathways semantic-aware sensors cognitive and contextual stability modules This document provides the conceptual foundation, architectural overview, resonance behavior, potential experimental setups, and cross-disciplinary applications of ØRPHIN-Q. All formulas, models, and architectures remain the intellectual property of the author, Neda Nađ (© 2025).