.png){kind=icon}
返回
Artificial Intelligence in Classical and Quantum Photonics
.png){kind=icon}
OA
AI
DOI：10.1002/lpor.202100399.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The last decades saw a huge rise of artificial intelligence (AI) as a powerful tool to boost industrial and scientific research in a broad range of fields. AI and photonics are developing a promising two-way synergy: on the one hand, AI approaches can be used to control a number of complex linear and nonlinear photonic processes, both in the classical and quantum regimes; on the other hand, photonics can pave the way for a new class of platforms to accelerate AI-tasks. This review provides the reader with the fundamental notions of machine learning (ML) and neural networks (NNs) and presents the main AI applications in the fields of spectroscopy and chemometrics, computational imaging (CI), wavefront shaping and quantum optics. The review concludes with an overview of future developments of the promising synergy between AI and photonics.
Keyword:
artificial intelligence
computational imaging
multi-modal fibers
neural networks
photonics
quantum optics
spectroscopy
期刊
L
IF:
10
论文数:
3.7K
被引数:
2.1W
机构
引用论文
Chiral non-perturbative approach to the isoscalar s-wave ππ interaction in a nuclear medium核介质中等标量s波 π π 相互作用的手性非扰动方法
OAAI
OAAI分享收藏分享收藏Modern practical convolutional neural networks for multivariate regression: Applications to NIR calibration用于多元回归的现代实用卷积神经网络: 在NIR校准中的应用OAAI
OAAI分享收藏Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer深度学习可以直接从胃肠道肿瘤的组织学中预测微卫星不稳定性.png)
NATURE MEDICINEOAAI
NATURE MEDICINEIF50
OAAI分享收藏
查看更多内容