As quantum training is flourishing in French Universities, several challenges arise. It is well-known that the hype around Quantum sometimes undermines the seriousness of quantum science. However, some universities have developed worldwide expertise for decades on the topic, which makes France one of the leading nations. This conference aims at deciphering the current state of quantum training in France.

Quantum HF lines & harness is an important part of the QC enabling technologies due to the exponential growth of the number of Q-bit per cryostat (system scale-up) that impacts the overall performance of the system. These microwave links include Cables/Assemblies, Connector, Attenuator, Board to board and switches with specific requirements for each stage of the thermal dilution refrigerator.
To manage the scale up of the QC, high density harnesses are required like side loaders to support hundreds of lines.

One of the most promising way to scale up quantum computing is to interconnect several mid-sized quantum processing units (QPUs) in clusters. We will present the full-stack quantum link provided by Welinq to interconnect QPUs. We will discuss the scalability and adaptability of this solution and its integration in HPC environment.

As the global leader of quantum computing, IBM is deeply engaged through its roadmap on the scaling and industrialization of our quantum computing technology.
During this presentation, we will review our current vision of the future, and share some challenges, from both hardware, software, but also adoption views.

This presentation will highlight the main challenges involved in scaling superconducting qubit quantum computers. It will explain how the IQM addresses the different aspects related to quality, quantity, and volume. And more specifically what role the future Quantum Factory in Grenoble will play in achieving these objectives.

The Qaptiva platform from Eviden enables the deployment of a complete quantum computing environment on an HPC cluster, with the integration of quantum processors (QPU). We will review recent deployments in national computing centers and discuss the main challenges of scaling up.

Our presentation will address the challenge of building a SaaS platform that offers quantum algorithms. Simply put, we face three key challenges in scaling up:

The challenge of market relevance, in a landscape where hardware maturity has not yet been achieved.
The challenge of skills, both in theoretical aspects (mathematics, data science, and quantum) and in navigating the diverse technological offerings, each with its own development environment.
The challenge of industrialization, as we must provide a “”as-a-service”” platform capable of functioning in “”production,”” even though most quantum capabilities currently do not offer service-level guarantees.

It is a difficult and ambitious challenge but very exciting, and we have strategies to address these different aspects.

Integration of QC within HPC compute centers is on the way, making QC a new compute paradigm. QC  offers ways to address previously unreachable problems such as NP problems. On the other hand, the integration of QC in HPC  is quite challenging, requiring the development of new middleware layers.
When considering QC, challenges appears in several domains, involving system oriented features as well as high level libraries providing building blocks for end-user to build HPC/QC ready applications. In order to address this integration, middleware should be structured and interfaces should be defined.

Cold atom quantum sensors have now left laboratories.
We have operated several gravimeters in field conditions, for example on a volcano, and are working on next generation onboard devices for geophysics and inertial navigation