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HPC Career Notes: April 2023 Edition

HPC Career Notes: April 2023 Edition
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Sanjaya Lohani Wins Brookhaven Seed Award Competition for Quantum Information Applications

Sanjaya Lohani Wins Brookhaven Seed Award Competition for Quantum Information Applications
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Tulane part of Navy/Army-funded research on improving communication


 
A team of Louisiana researchers, including a group from the Tulane University School of Science and Engineering, has developed a smart quantum technology that could have real-world applications to quantum networks and future quantum communications systems used in the military.
Ryan Glasser, an associate professor of physics at Tulane, and his team in the Department of Physics, collaborated on the study with researchers from Louisiana State University. The study was featured on the cover of the March 2021 issue of
“Recent developments in optical technologies have resulted in extremely high information transfer rates using the spatial properties of light i.e. images (and more complex structured beams),” Glasser said. “However, a difficulty in such communications using light through free-space is that turbulence can severely distort the beams, resulting in errors in the communication.”  ....

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Smart quantum technologies for secure communication


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Researchers from Louisiana State University have introduced a smart quantum technology for the spatial mode correction of single photons. In a paper featured on the cover of the March 2021 issue of
Advanced Quantum Technologies, the authors exploit the self-learning and self-evolving features of artificial neural networks to correct the distorted spatial profile of single photons.
The authors, PhD candidate Narayan Bhusal, postdoctoral researcher Chenglong You, graduate student Mingyuan Hong, undergraduate student Joshua Fabre, and Assistant Professor Omar S. Magaña?Loaiza of LSU together with collaborators Sanjaya Lohani, Erin M. Knutson, and Ryan T. Glasser of Tulane University and Pengcheng Zhao of Qingdao University of Science and Technology report on the potential of artificial intelligence to correct spatial modes at the single-photon level. ....

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