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Machine learning for optical quantum metrology

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摘要 Machine learning(ML)is one of the most acclaimed areas of science and technology,leading to countless real-world benefits,from industry to healthcare.ML involves creating algorithms to perform specific tasks by recognizing patterns in the data and without requiring extensive instructions,namely without being explicitly programmed.This possibility has recently attracted the attention of a broad community of scientists interested in learning,controlling,and making optimal use of quantum systems of increasing complexity,1,2 potentially leading to revolutionary progresses in many fields.
作者 Luca Pezzè
出处 《Advanced Photonics》 SCIE EI CAS CSCD 2023年第2期1-2,共2页 先进光子学(英文)
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