ØRPHIN-Q: A Frontier Quantum-Inspired Photonic Microarchitecture for Semantic Noise Stabilization

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).