# Эксперимент: Certified Active-Tail Ising Layer (#1301)

{
  "worked": true,
  "confidence": 8,
  "verdict": "Built a certified active-tail Ising solver with exact block reduction, induced-field updates, and robust-margin freezing. The conditional-energy identity passed with 1.8e-15 maximum error, and exhaustive certification testing found zero violations. On a 1,200-spin polarized dense instance, 840 spins froze, modeled interaction work fell to 9.94% of baseline, and final energy/state exactly matched; however, the unoptimized Python implementation was slower wall-clock because certification and matrix rebuilding overhead dominated.",
  "metrics": {
    "baseline": "Energy -25404.1177; 50,400,000 modeled interaction entries; 0 frozen spins; 0.526 s",
    "idea": "Energy -25404.1177; 5,011,684 modeled interaction entries (9.94% of baseline); 840 frozen spins; 0 certification violations; 1.217 s; 100% final-state agreement"
  },
  "how_to_run": "/home/maxwelhelp/main/bin/python3 active_tail_ising.py",
  "files": [
    "active_tail_ising.py",
    "results.json"
  ],
  "limitations": "Only a synthetic 1,200-spin dense random instance was tested, with deliberately strong external fields and synchronous sign updates. No CUDA implementation, large benchmark, simulated-bifurcation dynamics, repeated seeds, or optimized incremental certification/runtime path was evaluated; therefore the interaction-work reduction is demonstrated, but end-to-end wall-clock speedup is not."
}