Convolutional Neural Networks For Mode On-demand High Finesse Optical Resonator Design

Machine learning methods are widely used for various applications of modern optics, especially for inverse design problems. Deep machine learning methods, such as neural networks, are used to design optical power beam splitters and multiport devices for arbitrary transmission matrices. These methods can also be applied to the design of optical resonators for cavity quantum electrodynamics and quantum technology, such as for strong coupling of a quantum emitter to photons in a resonator or for two quantum emitters for 2-qubit quantum gates.