QITCAT: A Quantum Interferometry Toolkit for Cold Atom Technologies

Cold-atom interferometers enable state-of-the-art measurements of inertial and gravitational effects, but interpreting real signals requires accounting for coupled nonidealities such as finite-temperature velocity ensembles, doppler shifts, pulse imperfections and detuning, laser noise, vibrations, and optical wavefront effects. We have developed QITCAT, an open-source Python library for simulating and analyzing light-pulse atom interferometers, with modular components that can be combined to match specific experimental configurations. QITCAT provides modular building blocks for two-level internal dynamics and light-pulse operations, semi-classical external evolution under gravity with phase accumulation, and plug-in models for realistic experimental effects including thermal velocity distributions, detuning scans and lineshape generation, gaussian-beam geometry , and technical noise sources . Large ensemble monte-carlo studies and dense parameter sweeps are supported through CPU parallelism and optional GPU acceleration. We will present validation against analytic baselines and published experimental data, and demonstrate end-to-end workflows including spectroscopy, Mach-Zehnder gravimetry with parameter extraction, and contrast analysis under noise and 3D beam divergence. QITCAT aims to streamline reproducible simulation workflows across cold-atom interferometry platforms and to accelerate iteration between experimental design and data interpretation.