Periodic Reporting for period 1 - RPU (Quantum-based Randomness Processing Units (RPUs) for High-Performance Computation and Data Security)
Reporting period: 2024-03-01 to 2025-02-28
Quside addresses these twin challenges with the Randomness Processing Unit (RPU), a hardware accelerator that combines quantum-based entropy generation with reprogrammable logic to deliver both security and performance. At its core, the RPU integrates a Quantum Random Number Generator (QRNG) that uses quantum physics to produce provably unpredictable randomness. This entropy is then harnessed by FPGA-based acceleration logic, which optimizes cryptographic operations like key generation and encryption. Designed to comply with standards from NIST, BSI, and ISO, the RPU offers a drop-in solution for organizations needing secure, high-throughput randomness.
In parallel, Quside is advancing its photonic technology by designing a next-generation Photonic Integrated Chip (PIC). This chip, which improves efficiency and scalability, will be central to the future evolution of the RPU product line
Simultaneously, software development progressed to support the RPU’s integration into existing infrastructure. This includes a PCIe driver and SDK that simplify interaction between the card and host systems. Efforts also began to integrate cryptographic algorithms such as AES, SHA-3, and NTT, enabling the QRNG to function not just as a source of entropy but as a full cryptographic accelerator. All algorithmic work was benchmarked against established standards to ensure compliance and facilitate adoption.
On the PIC front, the team successfully designed a uMZI interferometer with path-length asymmetry. This configuration enables efficient quantum interference at 1 GHz repetition rates, marking a significant improvement over previous PIC designs. The result is a robust, low-loss platform that supports scalable entropy generation in future deployments.
The project also delivered a production-ready software stack with Linux drivers and integrations for tools like OpenSSL and libOQS. This ensures compatibility with modern IT environments and eases adoption in data centers. The commercial impact is already visible, with some of the RPU’s core features integrated into the Garnet Plus A41 QRNG, opening new revenue opportunities and operational cost savings through more efficient, hardware-level entropy delivery.
Pilot projects with the Barcelona Supercomputing Center, Vodafone, and PQShield helped validate the technology across diverse environments. Nine patents covering cryptographic and hardware innovations were filed, solidifying Quside’s IP position and future roadmap.
The scientific implications are significant. By bridging quantum entropy with classical computing, Quside enables breakthroughs in AI, hybrid systems, and lattice-based cryptography. Economically, the solution reduces the computational overhead of secure randomness, lowering costs and energy consumption. From a societal perspective, it strengthens digital trust in sectors like healthcare and finance, aligning with the EU’s climate and sovereignty goals by offering a secure and energy-efficient European solution