Architecture-Sensitive Noise Fingerprints in Classical Statistics of Quantum States

Version 1.1 (revised) This archive accompanies the paper Architecture-Sensitive Noise Fingerprints in Classical Statistics of Quantum States (v1.1). It contains the full manuscript, all figures appearing in the paper, and the Python scripts used to generate the numerical results. The project demonstrates that classical measurement statistics obtained from noisy quantum states retain reproducible, architecture-dependent structure. Even under standard local, Markovian noise models, simple low-order classical features encode diagnostic fingerprints of the underlying quantum state architecture. Rather than being rapidly rendered uninformative by noise, classical statistics can evolve along distinct, architecture-specific trajectories as noise strength varies. The analysis focuses on stabilizer states (including GHZ, cluster, and star graph states), fixed measurement bases (Z, X, and partially rotated), and exact probability distributions. The study uses only transparent, deterministic numerical simulations and deliberately avoids machine learning, optimisation, tomography, or state reconstruction. Architectural separability is quantified conservatively and validated against finite-sampling uncertainty, product-state baselines, and moderate system-size scaling. Version 1.1 incorporates revisions and extensions addressing reviewer feedback, including explicit null comparisons, quantitative separability metrics, system-size checks, clarified failure modes, and improved figure presentation. The contents of this archive include: LaTeX source and compiled PDF of the manuscript All figures used in the paper (PDF and PNG formats) Python scripts for generating exact classical statistics and figures A README describing the repository structure and reproducibility This archive is intended to support transparency, reproducibility, and reuse. It may also serve as a lightweight reference for diagnostic approaches to quantum noise and state architecture in NISQ-era quantum systems.