GitHub Repository

Validation of Universal Φ Framework on IBM Quantum Hardware - Real calibration data from 445 qubits and 1004 two-qubit gates

5 starsPython

One formula detects failure in quantum, neural nets, and hearts

Name: One formula detects failure in quantum, neural nets, and hearts
Availability: InStock
Author: Wise314

by Wise314·Feb 22, 2026·1 point·1 comment

AI Analysis

●MidBig BrainWizardry

One formula predicts qubit failure 20 days early, but cross-domain claims lack independent peer review.

Strengths

•Genuine temporal prediction: Φ drops 20 days before actual qubit degradation on real IBM hardware with 445-qubit validation.
•Hardware-agnostic formula with no per-device retraining — validated on three IBM backends identically.
•Deterministic and explainable scoring (single threshold 0.25) vs. black-box ML for regulated domains (pharma, defense, finance).

Weaknesses

•Cross-domain claims (neural nets, turbofan bearings) lack verifiable evidence in repo — only quantum results shown with hard data.
•No independent peer validation or code review; patent-pending status raises questions about reproducibility incentives and gatekeeping.