Blueshift makes quantum cryptography connection

Blueshift makes quantum cryptography connection

Technology News |
By Peter Clarke

IP developer Blueshift Memory Ltd. is working with Crypta Labs Ltd. to develop a quantum-resilient cybersecurity memory module.

Blueshift (Cambridge, England) founded in May 2016, claims to have developed a memory architecture for the superior handling of large data sets and time-critical data. The claim is mde that for applications such as high-performance computing, AI, and AR/VR, Blueshift’s ‘Cambridge Architecture’ for storage can enable 1,000x faster memory access.

Crypta Labs Ltd. (Oxford, England), founded in May 2014, is a developer of a quantum random number generator (QRNG) for resilient encryption.

“Our innovative non-Von Neumann computer architecture already offers a high level of intrinsic cybersecurity,” said Peter Marosan, founder and CTO of Blueshift Memory, in a statement. “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 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) with embedded software that together constitute QRNG solution. Blueshift Memory said it will integrate the QOM into its Cambridge Architecture FPGA module (see Blueshift Memory wins grant for FPGA development).

“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 Jose Garcia Coello, chief science officer at Crypta Labs, in the same statement. “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.”

As well as developing FPGA IP in 2022 Blueshift Memory was awarded a grant to develop a computer vision AI module based on the Cambridge Architecture and integrating a customized Codasip RISC-V core.

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