activity
20172020
most citedOn the use of deep neural networks in optical communications

99 citations · 230 across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2020★ 29 cited

Spatial Mode Correction of Single Photons using Machine Learning

Narayan Bhusal, Sanjaya Lohani, Chenglong You +6

Spatial modes of light constitute valuable resources for a variety of quantum technologies ranging from quantum communication and quantum imaging to remote sensing. Nevertheless, t…

physics.optics2019★ 14 cited

Dispersion Characterization and Pulse Prediction with Machine Learning

Sanjaya Lohani, Erin M. Knutson, Wenlei Zhang +1

In this work we demonstrate the efficacy of neural networks in the characterization of dispersive media. We also develop a neural network to make predictions for input probe pulses…

eess.SP2019★ 49 cited

Generative Machine Learning for Robust Free-Space Communication

Sanjaya Lohani, Ryan T. Glasser

Realistic free-space optical communications systems suffer from turbulent propagation of light through the atmosphere and detector noise at the receiver, which can significantly de…

quant-ph2018★ 24 cited

Optimal mode configuration for multiple phase-matched four-wave mixing processes

Erin M. Knutson, Jon D. Swaim, Sara Wyllie +1

We demonstrate an unseeded, multimode four-wave mixing process in hot Rb vapor, using two pump beams of the same frequency that cross at a small angle. This results in the s…

physics.app-ph2018★ 99 cited

On the use of deep neural networks in optical communications

Sanjaya Lohani, Erin M. Knutson, Matthew O'Donnell +2

Information transfer rates in optical communications may be dramatically increased by making use of spatially non-Gaussian states of light. Here we demonstrate the ability of deep…

quant-ph2018★ 15 cited

Multi-mode four-wave mixing with a spatially-structured pump

Jon D. Swaim, Erin M. Knutson, Onur Danaci +1

We demonstrate a new four-wave mixing (4WM) geometry based on structured light. By utilizing near-field diffraction through a narrow slit, the pump beam is asymmetrically structure…

physics.optics2017

Atomic vapor as a source of tunable, non-Gaussian self-reconstructing optical modes

Jon D. Swaim, Kaitlyn N. David, Erin M. Knutson +3

In this manuscript, we demonstrate the ability of nonlinear light-atom interactions to produce tunably non-Gaussian, partially self-healing optical modes. Gaussian spatial-mode lig…