Fully homomorphic encryption is an immensely valuable tool for collaborating on the most sensitive data. Optalysys are developing hardware accelerators to overcome the technical limitations of FHE and enable the full potential of quantum-secure private computing…
In this article, we show how to compute the maximum and minimum of an encrypted array of data without decrypting it, using Zama’s Concrete implementation of the TFHE programmable bootstrapping.
Optalysys has announced that its E series of optical processing technologies enable Fully Homomorphic Encryption (FHE) by significantly reducing the time taken to perform Fourier Transform functions.
The list of things we want to keep secret is nearly endless, yet how much attention do we pay to this process? After all, big corporations or governments are handling it for us on secure systems, so shouldn’t our data be fully protected?
After 2 days of intensive and competitive pitching sessions, Optalysys has been selected from a pool of over 300 candidates who presented their business at the online pitching sessions.
But FHE is very slow, making it unusable for most applications. The solution is acceleration via dedicated hardware designed to accelerate the most intensive operation. Optalysys’ Echip technology can provide an order-of-magnitude acceleration in homomorphic calculations.
Computing at the speed of light has been a long time coming, but a new generation of optical processors promise to be faster – and cooler – than electronic incumbents.
By uniquely combining the high speed modulation of silicon photonics, with the parallel processing of free space optics, Optalysys is developing a novel chiplet-based technology to provide new levels of performance and efficiency for Fourier based processes across AI, homomorphic / post quantum encryption and other numerical modelling applications.
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