Detector-Conditioned Observability of Interference Under Coarse-Grained Measurement

This work investigates how detector resolution and noise influence the observability of interference in a simulated double-slit system. A full computational measurement stack is implemented, including wave propagation, detector discretization, noise modeling, and visibility estimation. Building on a prior measurement stack framework (Zenodo: https://zenodo.org/records/19338790), this work introduces pixel binning, threshold-based observability, and multi-run statistical evaluation. Key Result:B_min ∝ d^(-0.77) This deviates from ideal Nyquist scaling (d^(-1)), demonstrating that detector resolution requirements are influenced by noise and coarse-graining. Core Insight:Interference is not simply present or absent. It becomes observable only when detector resolution and noise conditions permit stable estimation, leading to a stochastic observability boundary. Code:https://github.com/srikarr20/quantum-measurement-stack-demo DOI:https://doi.org/10.5281/zenodo.19353701