The EuroHPC Joint Undertaking has federated six Hosting Entities, and their 24 partners from 17 European countries to build a joint project for the respective integrations of six different quantum computers with six supercomputers. This hybrid infrastructure will benefit European open research communities and integration should thus be harmonized across the different sites. Sabine Mehr, as coordinator of the project, and Martin Schulz, who is leading the technical harmonization, will give you an overview of the planned actions of this project, as well as a perspective on the available technologies. 

Earth observation has inevitably arrived in the Big Data era, but the high requirement on computation power inherently requires HPC systems to tackle the tasks that drive the development of EO systems:

Disaster Management, Urban Development, Public Health or Education.

On the other hand, computational power is already a bottleneck for analyzing large amounts of remote sensing data with sophisticated machine learning models.

Thus, we show how quantum computing can contribute to a solution to tackle this challenge by leveraging quantum properties and explore the requirements of the EO use case for hybrid HPC-QC systems.

Step into the quantum journey with OVHcloud and discover how Europe’s leading cloud provider is making quantum computing accessible to industries and researchers through an open, sovereign, and interoperable platform. This session will also feature a live integration case : the collaboration with Serco, connecting OVHcloud’s Quantum Platform to the European DestinE (Digital Twin Earth) portal, leveraging quantum power to process and analyze Earth observation data.Join us to explore how this approach paves the way for the next generation of hybrid computing pipelines, driving European innovation.

We propose the Many-body Quantum Score (MBQS), a practical and scalable application-level benchmark protocol designed to evaluate the capabilities of quantum processing units (QPUs) – both gate-based and analog – for simulating many-body quantum dynamics. MBQS quantifies performance by identifying the maximum number of qubits with which a QPU can reliably reproduce correlation functions of the transverse-field Ising model following a specific quantum quench. In this talk, I will present the MBQS protocol and highlight its design principles, supported by analytical insights, classical simulations, and experimental data. I will also share preliminary results obtained with Ruby, an analog QPU based on Rydberg atoms developed by Pasqal, which is soon to be deployed at the TGCC. These findings demonstrate MBQS’s potential as a robust and informative

In this talk, we will explore why applicative benchmarking matters from a user’s perspective and how it evaluates nearly all aspects of execution on a Quantum Processing Unit (QPU), from qubit and hardware quality to the intricacies of compilation and transpilation tools, as well as state-of-the-art methods for adapting algorithms to specific platforms. We will demonstrate these concepts using the BACQ benchmarking framework and the DWave family of processors.