From Entropic Encoding to Resonant Memory_ A CODES-Based Architecture for DNA Data Systems

Main paper Abstract This paper introduces a structured resonance-based alternative to traditional entropy-driven DNA data storage. By replacing probabilistic base encoding with CODES-guided coherence architecture, we demonstrate how the Resonance Intelligence Core (RIC) drastically improves information density, fidelity, and long-term retrieval. Our system maps prime-phase logic directly into base-pair harmonics using PAS (Phase Alignment Score), enabling coherent memory encoding in DNA with error rates and costs significantly lower than stochastic methods. We present side-by-side simulations, coherence-anchored Verilog/Python code, and a path to microfluidic hardware integration.