QTET Simulation Findings: Entropy Modulation and Coherence Stabilization
This section presents QTET’s first simulation-supported models exploring entropy dynamics, coherence decay, and regenerative potential through modulated intervention. Each figure is derived from mathematically scaffolded systems and reflects testable, falsifiable scenarios with real-world implications in cryomedicine, neural preservation, and coherence-based design systems.
Some findings are held internally, please contact if interested in learning more at echoarc.research@proton.me.
1. Safe Zone Rebound Through Resonance Stacking
This figure illustrates how strategic coherence pulses—modeled as timed interventions—can preserve a system’s minimum safe zone by interrupting exponential entropy decay. Each pulse delays system collapse and initiates temporary recovery, revealing a repeatable method of entropy modulation through resonance stacking.
Simulation data based on dynamic decay with periodic constructive interference intervals.
This heatmap model visualizes the cumulative intensity of memory field interference following two energetic coherence pulses. Temporal and spatial overlap of these events produces nonlinear accumulation, suggesting that resonance persistence may extend beyond discrete initiators.
Color spectrum represents composite field magnitude; simulation assumes Gaussian coherence decay and memory density drift.
A comparative simulation of coherence degradation under baseline entropy conditions versus modulated stabilization. The model represents cellular or cognitive decay over time with and without QTET-aligned entropy interventions.
Supports cryostasis research and regenerative modeling in deep-space or medical trauma scenarios.
This graph depicts how coherence levels respond to resonance realignment following an initial entropy spike. Phase delay and return-to-baseline values are calculated to demonstrate recovery patterns in non-static biological systems.
Model includes phase lag, recovery oscillation, and energetic threshold calibration parameters.
This chart simulates the core principle of SOI: an observer timeline maintains stable coherence while the observed historical timeline experiences natural entropic decay.
It supports the hypothesis that non-invasive observational technologies, when properly calibrated, can preserve coherence integrity without influencing the timeline being viewed.
A comparative entropy projection between natural accumulation (aging) and QTET-modulated dynamics.
The QTET curve shows slowed entropy buildup, modeled with a sub-linear curve reflecting cellular rhythm stabilization and coherence support across long timescales.
This simulation depicts two biological signals—initially out of sync—gradually aligning in phase under coherence modulation.
The narrowing phase difference over time supports QTET’s hypothesis of resonance-based biological synchronization, potentially applicable in trauma recovery, AI-human coherence models, or therapeutic entrainment systems.