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: Bₘin ∝ 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