Skip to main content
Go to the home page of the European Commission (opens in new window)
English English
CORDIS - EU research results
CORDIS

Quantum-based Randomness Processing Units (RPUs) for High-Performance Computation and Data Security

Project description

Innovative processing technology accelerating random workloads

Commercial processing hardware, including CPUs, GPUs and TPUs, utilises software-based random number processing solutions for executing stochastic workloads. While efficient, this can lead to increased processing time and higher costs for stochastic workloads, causing bottlenecks and even impacting security in many applications. The Randomness Processing Unit (RPU), developed by Quside, utilises quantum random number generators and hardware-based stochastic acceleration techniques and is designed to enhance performance and efficiency in stochastic high-performance computing and post-quantum cryptography. Based on this solution, the EIC-funded RPU project aims to accelerate stochastic workloads in sectors such as data centres, finance and physics/chemistry simulations. It will target markets exceeding EUR 10 billion and is expected to generate over EUR 100 million in turnover by the end of the decade.

Objective

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.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

You need to log in or register to use this function

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended Finance

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) HORIZON-EIC-2023-ACCELERATOR-01

See all projects funded under this call

Coordinator

QUSIDE TECHNOLOGIES SL
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 499 999,00
Address
AVDA ESTEVE TERRADAS 1 OFFICE 304
08860 Castelldefels
Spain

See on map

SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Este Cataluña Barcelona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 3 908 437,50
My booklet 0 0