General Simulation Method for Quantum-Sensing Systems

Abstract

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. This general simulation method that includes experimental imperfections bridges the gap between theory and experiment. A theoretical approach is developed and the capabilities are demonstrated with the simulation of aligned and misaligned quantum-imaging experiments. The results recreate the characteristics of the experimental data. The simulation results were further used to improve the obtained images in post-processing. As a simulation method for general quantum-sensing systems, this work provides a step toward powerful simulation tools for interactively exploring the design space and optimizing the experiment's characteristics.