I'm an independent researcher. I found that a single stability metric Φ = I×ρ - α×S detects degradation across 8 domains with no training.
The repo linked here is the quantum computing validation — 445 qubits across 3 IBM backends, 85% error reduction, all real hardware.
Same formula also works on neural networks (660+ architectures), mechanical bearings, turbofan engines, power grids, LLM behavioral drift, financial data (3.1M loans), and cardiac arrhythmia (AUC 0.90).
15 provisional patents filed. All code is open and auditable.
I'm an independent researcher. I found that a single stability metric Φ = I×ρ - α×S detects degradation across 8 domains with no training.
The repo linked here is the quantum computing validation — 445 qubits across 3 IBM backends, 85% error reduction, all real hardware.
Same formula also works on neural networks (660+ architectures), mechanical bearings, turbofan engines, power grids, LLM behavioral drift, financial data (3.1M loans), and cardiac arrhythmia (AUC 0.90).
15 provisional patents filed. All code is open and auditable.
Quantum paper: https://doi.org/10.5281/zenodo.18522745 Cross-domain paper: https://doi.org/10.5281/zenodo.18523292 Full framework + controller: https://doi.org/10.5281/zenodo.18684052 Portfolio overview: https://github.com/Wise314/barnicle-ai-systems
Happy to answer any questions about methodology or results.