Author Name: Desrina R
 

Category Name: Science and Technology

Description:

Identifying sources of light plays an important role in the development of many photonic technologies, such as lidar, remote sensing, and microscopy. Traditionally, identifying light sources as diverse as sunlight, laser radiation, or molecule fluorescence has required millions of measurements, particularly in low-light environments, which limits the realistic implementation of quantum photonic technologies.

Researchers demonstrated a smart quantum technology that enables a dramatic reduction in the number of measurements required to identify light sources.We trained an artificial neuron with the statistical fluctuations that characterize coherent and thermal light.

After researchers trained the artificial neuron with light sources, the neuron could identify underlying features associated with specific types of light. A single neuron is enough to dramatically reduce the number of measurements needed to identify a light source from millions to less than hundred, a fellow researcher and co-author on the paper. With fewer measurements, researchers can identify light sources much more quickly, and in certain applications, such as microscopy, they can limit light damage since they don't have to illuminate the sample nearly as many times when taking measurements.

If you were doing an imaging experiment with delicate fluorescent molecular complexes, for example, you could reduce the time the sample is exposed to light and minimize any photodamage. Cryptography is another application where these findings could prove valuable. Typically to generate a key to encrypt an email or message, researchers need to take millions of measurements. "We could speed up the generation of quantum keys for encryption using a similar neuron.

As laser light plays an important role in remote sensing, this work could also enable development of a new family of smart lidar systems with the capability to identify intercepted or modified information reflected from a remote object. Lidar is a remote sensing method that measures distance to a target by illuminating the target with laser light and measuring the reflected light with a sensor.

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Media Contact:

Desrina R
Journal Manager
American journal of computer science and information technology