QRAFT-RA: Quadrature-based Reproducible Action-Structured Framework with Regularized Action for Generating Controlled Non-Classical Correlations

QRAFT-RA (Quadrature-based Reproducible Action-Structured Framework with Regularized Action) is a deterministic contextual variational framework for generating and verifying non-classical correlations through a fully reproducible computational pipeline.

The framework combines:

• a contextual action landscape on a compact latent domain
• a Gibbs-type contextual distribution controlled by an inverse temperature parameter
• an analytic noise-aware measurement map
• deterministic quadrature evaluation of correlators and Bell-type functionals

A complete deterministic verification hierarchy (V1–V17) is reported, including convergence tests, adversarial optimization under operational no-signaling constraints, industrial correlator validation (V14), and Titan-scale statistical stress testing (V15).

In the General-MD regime the framework deterministically generates super-Tsirelson correlations:

CHSH ≈ 3.576310390010

while maintaining operational no-signaling at machine precision:

SIG ≈ 10⁻¹⁶.

The work is presented as a deterministic mathematical and computational archetype for exploring contextual correlation structures and reproducible simulation pipelines.

Related patent application:
PCT/IB2026/050200 (QRAFT-RA-PCT-2026-01).