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Blueshift Memory and Crypta Labs to develop quantum-resilient cybersecurity memory module


Blueshift Memory, designer of a novel proprietary high-speed memory architecture, has announced that it has signed an agreement with Crypta Labs, developer of a quantum random number generator (QRNG) for resilient encryption, to create a cybersecurity memory solution that will be capable of countering threats from quantum computing.

“Our innovative non-Von Neumann computer architecture already offers a high level of intrinsic cybersecurity,” said Peter Marosan, founder and CTO of Blueshift Memory. “The solution we are now developing with Crypta Labs adds quantum-resilient protection, meaning that data is encrypted within the memory and can only be read by the CXL-connected CPU. We believe that this joint development will yield the one of the first technologies to create a bridge between quantum computing and silicon computer memory technology.”

Crypta Labs has developed a discrete Quantum Optics Module (QOM) and embedded software that together constitute a first-of-its-kind QRNG solution. Blueshift Memory will integrate the QOM into its Cambridge Architecture™ FPGA module to create a cybersecurity memory solution that is resilient to threats, even those from quantum computing.

“The basis for all encryption starts with a random number, and this is increasingly under attack since many so-called random numbers are in fact created by a pseudo-random generator,” said Dr Jose Garcia Coello, Chief Science Officer at Crypta Labs. “By using photons as a source of entropy, we have developed a fast, reliable method to generate true random numbers from that entropy using a quantum optics module.

Blueshift Memory has a disruptive technology for highly efficient handling of large data sets and time-critical data like AI, and we are very excited to be working with them to add quantum-resilient cybersecurity to their solution.”

In 2022 Blueshift Memory was awarded a prestigious Smart grant by Innovate UK to develop a computer vision AI module based on the Cambridge Architecture and integrating a customized Codasip RISC-V core, which dramatically increases memory bandwidth and improves efficiency. It has also been Highly Commended in the ‘One to Watch’ category at the recent Cambridge Independent Science and Technology Awards.

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