  Quantum sensing encompasses highly promising techniques with diverse
applications including noise-reduced imaging, super-resolution microscopy as
well as imaging and spectroscopy in challenging spectral ranges. These
detection schemes use biphoton correlations to surpass classical limits or
transfer information to different spectral ranges. Theoretical analysis is
mostly confined to idealized conditions. Therefore, theoretical predictions and
experimental results for the performance of quantum-sensing systems often
diverge. Here we present a general simulation method that includes experimental
imperfections to bridge the gap between theory and experiment. We develop a
theoretical approach and demonstrate the capabilities with the simulation of
aligned and misaligned quantum-imaging experiments. The results recreate the
characteristics of experimental data. We further use the simulation results to
improve the obtained images in post-processing. As simulation method for
general quantum-sensing systems, this work provides a first step towards
powerful simulation tools for interactively exploring the design space and
optimizing the experiment's characteristics.
