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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.” ....
Quantum breakthroughs help Army, Air Force advance supercomputing 1 hour ago Army-funded research has led to recent breakthroughs in quantum computing. Such advances could lead to supercomputers vital to future military operations. (Army photo) As the Army builds its forces on the multi-domain operations concept for future warfighting, a core problem for today’s technologists is figuring out how to have a constant view of the battlefield and share that information across the globe. Today’s computers simply can’t handle the immense amount of data and speed necessary for commanders and soldiers to gain a clear picture of their surroundings and the ability to use that information. ....
Machine learning shows potential to enhance quantum information transfer eurekalert.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from eurekalert.org Daily Mail and Mail on Sunday newspapers.
E-Mail 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. ....