QTF-Based 36 Thread Benchmark: Decoherence Suppression through Multilayer Shielding and CSTx-Optimized Transfer

This paper presents the benchmark test results of a 36-thread Quantum Tubule Filament (QTF) array operating under extreme coherence-preservation conditions. Utilizing a multilayer shielding architecture—featuring cryo-stabilization, electromagnetic cancellation, curvature-aligned meshing, and a theoretical plasma containment layer—the experiment demonstrates coherence rates exceeding 99.999% in simulated environments with significant electromagnetic and vibrational noise. The CSTx (Curvature Sync Transmission) model was applied to guide transfer synchronization across the 36-thread system, with all results measured using standardized quantum phase jitter, decoherence thresholds, and signal integrity parameters. This test represents a critical step toward building a 72-thread and 144-thread system for practical quantum transfer conduits, with implications in cryogenic quantum computing, interstellar CSTx communication, and long-range coherence retention under real-world interference. This work was developed using ChatGPT-4o as an AI co-author and modeling assistant. The AI was employed not for content generation alone but as a dynamic simulation partner — assisting in organizing test outputs, interpreting mathematical coherence models, suggesting shielding optimizations, and refining the experimental benchmark language into formal structure. Its role was instrumental in accelerating hypothesis validation and translating raw theory into testable configurations. Rather than bypassing scientific understanding, ChatGPT was used as a tool within the scientific workflow—bridging knowledge gaps, running logical consistency checks, and helping to synthesize large multi-part system architectures with precision. This collaboration demonstrates how advanced AI can augment rather than replace human insight in early-stage quantum systems research.