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Optical Computing for Cryptography: Fully Homomorphic Encryption | by Joseph Wilson | Optalysys | Medium

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Optalysys are developing Fourier-optical chips which will provide previously unseen levels of processing speed whilst consuming a fraction of the power of electronic processors. Follow publication 18 Listen Share More With Florent Michel and Edward Cottle Fourier-optical computing technology of the kind developed by Optalysys has the capacity to deliver tremendous improvements in the computational speed and power consumption needed for artificial intelligence algorithms, but that’s not the only field to which the technology can be applied. The Fourier transform is incredibly versatile, and there are many seemingly unrelated problems which can benefit from a faster method of performing it. One of these fields is a category of new methods for performing encryption, the process by which information is mathematically scrambled for security purposes. It’s expected that quantum computing will pose a major risk to some of the existing techniques that keep communications secret and secure,

Press enter or click to view image in full size Optical Computing for Cryptography: Fully Homomorphic Encryption Joseph Wilson 21 min read · Jan 15, 2021 -- Listen Share With Florent Michel and Edward Cottle Fourier-optical computing technology of the kind developed by Optalysys has the capacity to deliver tremendous improvements in the computational speed and power consumption needed for artificial intelligence algorithms, but that’s not the only field to which the technology can be applied. The Fourier transform is incredibly versatile, and there are many seemingly unrelated problems which c

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