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RPU

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Quantum-based Randomness Processing Units (RPUs) for High-Performance Computatio...

Quantum-based Randomness Processing Units (RPUs) for High-Performance Computation and Data Security Quside has developed the Randomness Processing Unit (RPU) that is an innovative hardware accelerator designed for world-class performance, optimization, and efficiency in stochastic High Performance Computing (HPC) and Post-Quantu... ver más

28/02/2026

QUSIDE TECHNOLOGIE...

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto

QUSIDE TECHNOLOGIES Ofrecer productos componentes dispositivos metodos y servicios de consultoria investigacion y desarrollo relacionados con las fuentes de ent...

TRL 4-5 | 130K€

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2024-02-07

HORIZON-EIC-2023-ACCELERATORCHALLENGES-05: EIC Accelerator Challenge: Emerging... Scope:This Challenge contributes to the objectives of the Chips Act by supporting the development of...

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1 Participantes

QUSIDE TECHNOLOGIES

2.50M€ | Lider

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Duración del proyecto: 24 meses Fecha Inicio: 2024-02-07
Fecha Fin: 2026-02-28

Líder del proyecto

QUSIDE TECHNOLOGIES Ofrecer productos componentes dispositivos metodos y servicios de consultoria investigacion y desarrollo relacionados con las fuentes de ent...

TRL 4-5 | 130K€

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Quside has developed the Randomness Processing Unit (RPU) that is an innovative hardware accelerator designed for world-class performance, optimization, and efficiency in stochastic High Performance Computing (HPC) and Post-Quantum (PQ) cryptography. The purpose of the RPU is to accelerate and optimize randomized workloads, which are used in countless sectors (secure data transfer, finance, physics/chemistry simulations etc.). All the commercial processing/acceleration hardware (CPUs, GPUs, TPUs, etc.) generate pseudo-random numbers (PRNGs), which are sequences of digits with certain random statistical properties. In fact, PRNG are completely predictable and therefore are inefficient/ineffective for randomized workloads. In short, the existing processing hardware are not optimized for random numbers and operations. As a result, customers run highly inefficient processes that impact the quality of their results and increases their costs (both OPEX and CAPEX). Our technology is brand-new (the TRL 7 prototype of the RPU was presented in December 2022) and protected by 14 patent families (filed or granted). The RPU is based on the high-speed, high-quality Quantum Random Number Generators (QNRG) chips manufactured by Quside. Ours is one of the few companies worldwide working on this technology. Quside is a spin-off of the Institute of Photonics Sciences in Barcelona, and our solutions have been used in the experiments awarded with the 2022 Nobel Prize for Physics. According to our financial forecasts, Quside will generate over 170 M€ in turnover and 40 M€ in net profit in the period 2024-2028, mostly from sales of RPUs to customers in the public and private sectors. Note that this is a direct resubmission to the pitch phase, as recommended by the EIC jury.

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