Imaging from quantum noise without a camera

In low-light imaging, the accuracy of detection is often limited by the dark noise of a camera. Quadrature-noise shadow imaging (QSI) can allow this issue to be partially circumvented by analyzing the quantum noise of the illuminating probe beam with non-classical noise statistics (e.g., quadrature squeezed vacuum). Direct implementation of QSI puts stringent requirements on the camera used, making it more expensive and more restrictive (e.g., with a single noise quadrature detected at a time). On the other hand, classical single-pixel imaging methods have been developed to reconstruct the object shape without a camera by exposing it to different spatial patterns. Here we present a method combining the analysis of quantum noise modes and single-pixel imaging techniques to reconstruct an image in the low light regime without relying on a camera. This method also allows us to track the phase changes with each mode, providing more complete spatial information about the object of interest.