Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …
audience, ranging from optical research and engineering communities to computer science …
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 …
Machine learning pipeline for quantum state estimation with incomplete measurements
Two-qubit systems typically employ 36 projective measurements for high-fidelity
tomographic estimation. The overcomplete nature of the 36 measurements suggests …
tomographic estimation. The overcomplete nature of the 36 measurements suggests …
Generative machine learning for robust free-space communication
Free-space optical communications systems suffer from turbulent propagation of light
through the atmosphere, attenuation, and receiver detector noise. These effects degrade the …
through the atmosphere, attenuation, and receiver detector noise. These effects degrade the …
Active learning approach to optimization of experimental control
Y Wu, Z Meng, K Wen, C Mi, J Zhang… - Chinese Physics …, 2020 - iopscience.iop.org
We present a general machine learning based scheme to optimize experimental control.
The method utilizes the neural network to learn the relation between the control parameters …
The method utilizes the neural network to learn the relation between the control parameters …
Spatio-temporal coupling controlled laser for electron acceleration
Limited by the difficulty in acceleration synchronization, it has been a long-term challenge for
on-chip dielectric laser-based accelerators to bridge the gap between non-relativistic and …
on-chip dielectric laser-based accelerators to bridge the gap between non-relativistic and …
Optical indistinguishability via twinning fields
Here we introduce the concept of the twinning field—a driving electromagnetic pulse that
induces an identical optical response from two distinct materials. We show that for a large …
induces an identical optical response from two distinct materials. We show that for a large …
Sequential optical response suppression for chemical mixture characterization
The characterization of mixtures of non-interacting, spectroscopically similar quantum
components has important applications in chemistry, biology, and materials science. We …
components has important applications in chemistry, biology, and materials science. We …
Deep learning for eavesdropper detection in free-space optical ON-OFF keying
NJ Savino, S Lohani, RT Glasser - Optics Continuum, 2022 - opg.optica.org
We demonstrate the efficacy of machine learning techniques in the detection of an
eavesdropper in a free-space optical (FSO) communications setup. Experimentally, we use …
eavesdropper in a free-space optical (FSO) communications setup. Experimentally, we use …
Free-space optical ON-OFF keying communications with deep learning
S Lohani, NJ Savino, RT Glasser - Frontiers in Optics, 2020 - opg.optica.org
Free-Space Optical ON-OFF Keying Communications with Deep Learning Page 1 FTh5E.4.pdf
Frontiers in Optics / Laser Science © OSA 2020 Free-Space Optical ON-OFF Keying …
Frontiers in Optics / Laser Science © OSA 2020 Free-Space Optical ON-OFF Keying …