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By training a neural network on the original, high quality images and its degraded versions, it can learn to restore botched images. Useful quantum computers will be impossible without error correction. Good thing these folks are working on it READ MORE "These networks behave as an artificial brain that is trained with multiple distorted spatial profiles of photons produced by turbulence with different conditions, for example temperature, " Omar Magaña‐Loaiza, principal investigator of the experiment described in a paper published in Advanced Quantum Technologies, and an assistant professor of physics at LSU, explained to The Register. "The neural network translates the distorted photon profiles to numbers that can be understood by a computer. These networks rely on a series of operations that enable the implementation of image filters: these filters are like those used for image recognition. " In short, machine learning algorithms can learn to correct these distorted images - or photon profiles - to accurately recover the quantum information stored within it.

US military employing neural networks to figure out interference in photons for quantum communications • The Register

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"Distributed quantum information and quantum networking research are still in their early stages, " Dr Sara Gamble, program manager, Quantum Information Sciences, at the Army Research Office, told us. "The work described in this paper is particularly exciting because it shows enormous promise for overcoming a common type of distortion that befalls quantum information during its distribution. There are, however, many hurdles still left to overcome before most real world applications can be realized. " ®

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Plan 9 moves out from Lucent licence space READ MORE The new Plan 9 Foundation has shared an email between its members and Bell Labs that explains the reasons for the copyright transfer as follows: "The transfer will benefit Plan 9 users both outside and inside of Nokia. Outside use and development has been stifled by the confusion around the current LPL license. Inside use is discouraged by a lack of community involvement and support. The foundation has been founded to maintain a 'common root' under a less encumbering license such as the BSD or MIT ones. " Downloads and source code for the OS can be found here, including a Raspberry Pi version. There's more to come, eventually, as the foundation says its mission is to conduct "future development by following the practice and processes set forth by the original authors. " ®

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