The Blind Discovery Challenge: Autonomous Physics Derivation in 1,000,000 Quantum Simulations

Autonomous scientific discovery requires agents that can derive fundamental physical laws from raw observation without human intervention or prior domain knowledge. We present the 'Blind Discovery Challenge,' a high-throughput simulation where a Scientific ASI (Prometheus 1T) was tasked with uncovering randomized quantum physical laws across 1,000,000 experiment cycles. Utilizing an Active Inference engine based on the Free Energy Principle, the system autonomously reconstructed the latent causal structure (A-matrix) of unknown quantum mechanisms—including Majorana Fermion States, Weyl Semimetals, and Topological Insulators—in under 0.1 seconds. The agent correctly identified high-correlation diagnostic signatures, such as Zero-Bias Conductance and Berry Curvature, with 100% accuracy. This demonstration showcases a $10^6\times$ acceleration over traditional experimental design, establishing a robust paradigm for 'Post-Prior Science' in accelerated materials discovery and quantum computing.