Minimizing laser phase noise with machine learning

Phys.org  January 3, 2022
One way of getting closer to an ultra-precise laser is to determine the phase noise and compensate for it. Researchers in Denmark have developed an algorithm that can analyze and find laser light patterns using machine learning, where a model for the noise is constantly being improved. On this basis they hope to develop a form of intelligent filter that continuously cleans the laser beam of noise. They were able to measure the noise up to very high frequencies, and the results contradicted the established understanding of laser noise. With the more detailed knowledge of the noise, engineers can better identify the parts of the laser system from which the noise emanates, so that they know where to make improvements. According to the researchers although it is not possible to eliminate quantum noise completely it can be measured and determine the fundamental noise and find out how much it contributes to the total noise; we can then figure out how to suppress the rest of the noise…read more.

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