Communicating using spatial mode multiplexing: Potentials, challenges, and perspectives
Time, polarization, and wavelength multiplexing schemes have been used to satisfy the
growing need of transmission capacity. Using space as a new dimension for communication …
growing need of transmission capacity. Using space as a new dimension for communication …
Orbital angular momentum optical communications enhanced by artificial intelligence
Angular momentum of light can be divided into spin angular momentum and orbital angular
momentum (OAM). Due to the theoretically unlimited orthogonal states, the physical …
momentum (OAM). Due to the theoretically unlimited orthogonal states, the physical …
All-optical signal processing of vortex beams with diffractive deep neural networks
Vortex beams (VBs), possessing a helical phase front and carrying orbital angular
momentum (OAM), have attracted considerable attention in optical communications for their …
momentum (OAM), have attracted considerable attention in optical communications for their …
Machine learning assisted quantum state estimation
We build a general quantum state tomography framework that makes use of machine
learning techniques to reconstruct quantum states from a given set of coincidence …
learning techniques to reconstruct quantum states from a given set of coincidence …
Turbulence correction with artificial neural networks
S Lohani, RT Glasser - Optics letters, 2018 - opg.optica.org
We design an optical feedback network making use of machine learning (ML) techniques
and demonstrate via simulations its ability to correct for the effects of turbulent propagation …
and demonstrate via simulations its ability to correct for the effects of turbulent propagation …
Deep learning the high variability and randomness inside multimode fibers
Multimode fibers (MMF) are remarkable high-capacity information channels. However, the
MMF transmission is highly sensitive to external perturbations and environmental changes …
MMF transmission is highly sensitive to external perturbations and environmental changes …
Efficient recognition of the propagated orbital angular momentum modes in turbulences with the convolutional neural network
Z Wang, MI Dedo, K Guo, K Zhou, F Shen… - IEEE Photonics …, 2019 - ieeexplore.ieee.org
The vortex beam carrying orbital angular momentum (OAM) has attracted great attentions in
optical communication field, which can extend the channel capacity of communication …
optical communication field, which can extend the channel capacity of communication …
Machine-learning recognition of light orbital-angular-momentum superpositions
BP da Silva, BAD Marques, RB Rodrigues… - Physical Review A, 2021 - APS
We develop a method to characterize arbitrary superpositions of light orbital angular
momentum (OAM) with high fidelity by using astigmatic transformation and machine-learning …
momentum (OAM) with high fidelity by using astigmatic transformation and machine-learning …
Speckle-based deep learning approach for classification of orbital angular momentum modes
We present a speckle-based deep learning approach for orbital angular momentum (OAM)
mode classification. In this method, we have simulated the speckle fields of the Laguerre …
mode classification. In this method, we have simulated the speckle fields of the Laguerre …
Deep-learning-based high-resolution recognition of fractional-spatial-mode-encoded data for free-space optical communications
Structured light with spatial degrees of freedom (DoF) is considered a potential solution to
address the unprecedented demand for data traffic, but there is a limit to effectively …
address the unprecedented demand for data traffic, but there is a limit to effectively …