QEIv15™ Entropy-Physics Engine
The foundation of Physics Intelligence (PI), built on fundamental structural physics invariants—not statistical probability. A physics-first, entropy-structured engine.
The Three Core Invariants
Entropy (S)
Primary Structural InvariantProvides a deterministic, multi-scale measure of a system's intrinsic entropy (S). For researchers, this replaces ambiguous statistical volatility with a single, absolute metric for quantifying systemic stability.
φ-Field Mapping
Structural Stress InvariantMaps all input data into a proprietary high-dimensional structural field (φ-Field), allowing for the precise, geometric identification of structural stress accumulation and impending phase transitions.
Dynamics (λ) Tracking
Trajectory Stability InvariantImplements real-time Lyapunov Exponent tracking (λ). This provides a definitive, early-warning signal when a system breaches stability thresholds and begins to degrade into a chaotic regime.
Supporting Metrics & Analysis Layers
In addition to the three core invariants, QEIv15 includes advanced, proprietary metrics for complete system analysis:
- multi-scale entropy structures
- curvature & stiffness quantification
- cross-channel coupling analysis
- information-flow tensors
- structural coherence maps
Input Requirement Note: The Engine requires time-series data from system sensors in a standardized tabular format for analysis.
All integrated into a deterministic physics framework. The Engine and derived technologies are protected under several patent pending applications.
The X-40™ Structural Bridge: Optional AI Integration
The QEIv15 kernel operates independently for all core deterministic analysis (e.g., structural EEG and CO2 metric generation). However, the QEIv15 insights can be dramatically amplified by external, probabilistic systems like ML/LLMs—but only if their output is constrained by physics.
We have designed the X-40 component as a proprietary Physics Attention Layer to apply QEIv15's deterministic intelligence for this integration.
The X-40 functions as a mandatory structural coherence gate connecting PI to frameworks like traditional ML models and LLMs. This layer forces the external AI output to conform to physical reality, eliminating "hallucinations" and transforming statistical guesswork into structurally-validated insight.
The PI Advantage Over Statistical AI
Deterministic & Auditable
Every insight is derived from foundational physics, not a "black box" model. Results are stable, reproducible, and fully auditable.
Zero Training Required
PI does not require massive, biased datasets. The laws of physics are universal, allowing PI to analyze novel systems on day one.
Immune to Hallucinations
Because PI measures structural truth, it cannot be "fooled" by statistical noise or generate outputs that violate physical reality.
Impacting Mission-Critical Domains
The QEIv15 engine's ability to provide absolute structural truth is a game-changer for any field where "close enough" is catastrophic. PI is being applied to solve previously intractable problems in aerospace trajectory physics, financial market stability, geological system stress, and neuro-structural dynamics.