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

Introduction

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.

Purpose of the RPU

The purpose of the RPU is to accelerate and optimize randomized workloads, which are used in countless sectors, including:

• Secure data transfer
• Finance
• Physics/Chemistry simulations

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.

Limitations of Existing Hardware

In fact, PRNGs are completely predictable and therefore are inefficient/ineffective for randomized workloads. In short, the existing processing hardware is not optimized for random numbers and operations. As a result, customers run highly inefficient processes that impact the quality of their results and increase their costs (both OPEX and CAPEX).

Technology Overview

Our technology is brand-new; the TRL 7 prototype of the RPU was presented in December 2022 and is 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.

Market Position

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.

Financial Projections

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.

Resubmission Note

Note that this is a direct resubmission to the pitch phase, as recommended by the EIC jury.