ZET Processor Architecture A Self-Stabilizing Computational Framework Based on Zero-Point Evolution Tracking

AbstractModern computational systems approach fundamental limits of performance due tothermal instability, noise amplification, and architectural rigidity. As computationaldensity increases, systems increasingly experience emergent instability resemblingchaotic dynamics.This paper introduces the Zero-Point Evolution Tracker (ZET) architecture — aself-stabilizing processor design that continuously measures its own physical noisestate and dynamically reorganizes computation to prevent instability.The ZET architecture combines:● graphene-based high-mobility logic layers● quantum noise sensors● diffusion-based stability propagation● predictive instability detectionBy computing a stability index G=γ/aC the system predicts the onset of chaotic behavior and proactively restructures itscomputational topology. The result is a new class of adaptive computing hardware capable of maintainingstability under extreme computational loads, with potential applications in quantumcomputing, plasma control, planetary-scale energy systems, and high-complexitysimulations.