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Fundraiser launched for Wolverhampton youngster who defied odds after being given year to live

Fundraiser launched for Wolverhampton youngster who defied odds after being given year to live
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Quantum breakthroughs help Army, Air Force advance supercomputing

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.

Army, Air Force fund research to pursue quantum computing

 E-Mail RESEARCH TRIANGLE PARK, N.C. Joint Army- and Air Force-funded researchers have taken a step toward building a fault-tolerant quantum computer, which could provide enhanced data processing capabilities. Quantum computing has the potential to deliver new computing capabilities for how the Army plans to fight and win in what it calls multi-domain operations. It may also advance materials discovery, artificial intelligence, biochemical engineering and many other disciplines needed for the future military; however, because qubits, the fundamental building blocks of quantum computers, are intrinsically fragile, a longstanding barrier to quantum computing has been effective implementation of quantum error correction.

Smart quantum technologies for secure communication

 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.

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