6 papers
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…
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…
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…
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…
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…
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…