(十一月) Prof. Moreau studies noise rejection in quantum imaging.

An image acquired by a camera usually comprises noises. The scene that we want to observe is sometimes made hard to recognize or denatured by these noises. Such noises, that can come from the camera itself or from the environment, become very important when imaging at low light levels. We have used a quantum illumination protocol to improve the imaging in a way that we are able to remove a large amount of noise in images acquired at the single photon level. We have recently improved upon our previous demonstration by developing a new estimator harnessing both classical signal and quantum correlations to perform the image noise rejection. As seen on the picture in our implementation, we superpose to a quantum illuminated object, looking like a bird, a classical parasitic light noise in the shape of a cage. By implementing our image reconstruction harnessing the quantumness of the light we were able to show almost perfect rejection of the noise, and image the bird that appears to be freed from its cage of noise. In our improved implementation we demonstrate up to ­99.9% of background light and sensor noise rejection.


For details, see Scientific Reports (2021)