The Quantum Europe Strategy aims to position Europe as a leader in quantum technologies, driving innovation and competitiveness.

This presentation explores its goals, including research funding, public-private partnerships, and workforce development, while highlighting the semiconductor industry’s pivotal role in advancing quantum technologies.

Hitachi is developing silicon quantum computer system based on the results of fundamental research of high-fidelity qubit operations with collaboration with academia.

Cryo-CMOS chips were developed for large-scale integration of qubits that will bring breakthrough to the system.

A new qubit chip configuration was proposed to implement quantum error correction with shuttling operation.

Hierarchical architecture with cryo-electronics was implemented which is utilized for efficient qubit control.

Scaling quantum computing is not only a qubit problem. Every quantum processor needs classical computing alongside it — to control it, to correct its errors in real time, and to make it programmable.

Today each builder constructs that layer alone. This talk asks what it would take to share it, and how NVIDIA’s work on open interfaces between quantum processors and accelerated computing could help European players industrialise.

Spin qubits in semiconductor quantum dots, proposed in 1998 [1], are a leading platform for quantum computing: long coherence, small footprint, and industrial fabrication.

The first part of the talk reviews the field of spin qubits and the path to scalability [2], including micromagnet-free control of electron spins in Si/SiGe [3].

The second part shows that the same hardware supports classical reversible logic: coherent spin dynamics with classical inputs and outputs, no algorithmic use of superposition, and no erasure until readout, so the Landauer bound does not apply to the logic [4].

The building block is an iToffoli gate driven by DC pulses, with a gate energy below the Landauer scale at 4 K, about five orders of magnitude below a CMOS Toffoli including cooling overhead.

Motivation: the rising energy demand of data-center and AI workloads.

The lead time to build quantum capability exceeds the lead time to build the hardware.

Allianz Quantum Hub acts on that gap: a group-level team running experiments with external partners on business challenges, under its build-value and build-network pillars.

The talk covers the roadmap across three horizons, from this year’s deliverables to the validation any production use would require, and the projects in catastrophe modelling, cyber anomaly detection with quantum machine learning, and asset-liability management.

It closes on how an insurer values a startup before working with it, and when those criteria expire.

JHPC-Quantum is one of the projects to integrate Quantum and HPC systems.

We started test operations from last year. In this presentation, we present our implementations, the experiences gained and the improvements made through one year of real operation.

QPerfect’s MIMIQ is a high-performance quantum emulator built on advanced tensor network (MPS) techniques. This talk will present technical insights from developing and benchmarking MIMIQ, demonstrating its capability to simulate large-scale algorithms with thousands of qubits.

We will discuss the key lessons learned from optimizing tensor network simulators for performance and flexibility, including the ones that enabled our recent simulation of large-scale logical quantum algorithms and how emulation is helping QPerfect working on compilation and software tooling to bridge the gap between high-level algorithm design and hardware.

As it comes to integrate Quantum Computers in actual machine rooms, many obstacles are on the path. Beyond hardware related issues, software integration is a major challenge to be addressed in order to make it possible to compute on the QPU from the users environment where they access classical and quantum compute resources.

This topic describes how Qaptiva can be used to integrate QPUs in compute center with a focus on a real use case : the integration of the Lucy QPU, provided by Quandela into CEA’s TGCC compute center. 

Integrating multiple QPUs into an established HPC environment provides unique opportunities – and challenges – for both users and system designers. We present the lessons learned from enabling access to a diverse set of quantum resources, including a photonic QPU (Lucy), a neutral-atoms QPU (Ruby), and a classical simulator (Qaptiva), from an existing Slurm-based HPC infrastructure.

The integration enables classical workloads to invoke quantum resources transparently, while a dedicated Slurm instance manages the QPU platform itself. From an applicative perspective, this effort highlights that hybrid HPC-quantum environments remain an emerging and rapidly evolving field. Supporting a new user base – often unfamiliar with HPC workflows – requires dedicated onboarding, documentation, and tooling.

Furthermore, achieving coherence among multiple rapidly-evolving vendor-specific software stacks within a unified environment proved to be a key technical and organizational challenge. This experience underlines the importance of adaptable middleware, clear abstractions, and close collaboration between HPC and quantum teams. As the boundaries between classical and quantum computing continue to blur, such lessons are essential to designing scalable, user-friendly hybrid infrastructures that can evolve with the next generation of quantum technologies.

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.

After an introduction on the availability requirements of our computers, we present the installation and acceptance procedures for our infrastructures from delivery to service launch.

We conclude with the maintenance procedures

A number of quantum computers are now installed in Europe, Asia and the US, in HPC centres, at cloud providers and on private sites.

We are interested in hearing from some of these players about their experiences and how the integration and validation stages went. Sharing this feedback can benefit hosting sites, future hosts and suppliers alike.