Quantum imaging methods developed to enhance image clarity

For decades, quantum imaging has promised sharper images and greater light sensitivity than classical methods by exploiting the unique properties of quantum light, such as photon entanglement. However, the approach to doing so relies on delicate, specially designed light sources that are easily overwhelmed by real-world noise, making it difficult to produce quantum light that is practically bright enough.

The team at Fatemeh Mostafavi has developed a quantum imaging scheme that uses advanced photon counting sensors to extract quantum features from natural light sources and generates highly transparent images. Their work is featured in the Journal Applied Physics Reviews.

“Our technique separates the ‘quantum function’ hidden in normal light and allows us to see what is invisible to traditional cameras,” said author Mushafabi. “By carefully selecting and counting photons in the image field, images can be reconstructed with exceptional clarity, even in noisy environments where traditional imaging fails.”

The researchers used a single pixel camera with photon decomposition capabilities that uses a technique known as conditional photon detection, which separates specific photon interactions and filters out unnecessary noise.

In experiments, the camera revealed objects that were completely obscure by noise when classical methods were used. Imaging was also generated by detecting vacuum fluctuations, which are subtle quantum ripples that exist in empty spaces.

“This technology can revolutionize scenarios where light is rare or overwhelmed by noise and interference in medical imaging, astronomy, and LIDAR,” says author Omar Magaña-Loaiza. “By bypassing traditional quantum light sources, this represents a major advancement in the field of quantum imaging, and we promise to be more accessible, scalable and practical in real-world applications.”