Quantentechnologie

“We need to develop the ability to build these systems ourselves.”

Prof. Dr. Tommaso Calarco, Director of the Quantum Control Division at the Peter Grünberg Institute, Forschungszentrum Jülich.Photo: Forschungszentrum Jülich / Sascha Kreklau

Tommaso Calarco heads the Institute for Quantum Control at the Forschungszentrum Jülich. In this interview, he discusses the challenges of quantum technology as well as Germany’s and Europe’s position in global competition.

I head the Institute for Quantum Control. We develop software for quantum computers that operates similarly to drivers in conventional computers, directly at the hardware level, to ensure minimal error rates and high-fidelity qubit operations.

Exactly. In short, these quantum drivers ensure that the hardware operates optimally. This approach positions us at the Forschungszentrum Jülich as a link between hardware developers and algorithm developers, such as the Jülich Supercomputing Centre.

Yes, that is our strength. At the Forschungszentrum Jülich, we integrate all the necessary components within a single institutional framework. These include materials research, cleanroom-based nanofabrication capabilities, infrastructure for qubit circuit design and testing, algorithmic expertise, high-performance computing resources, and more.
The same applies to the Helmholtz Association as a whole; what distinguishes us is our holistic and systemic approach. Other institutions also conduct comprehensive research on quantum technologies—for example, the Helmholtz-Zentrum Dresden-Rossendorf, which is particularly strong in quantum sensing, and the German Aerospace Center (DLR), which is actively engaged in secure quantum communication research, both on Earth and in space.

Yes, Germany is among the leading countries in Europe.

Scientifically, we are fully on par in terms of expertise, competence, creativity, and research output. Where we are weaker, however, is in the private sector—particularly in terms of investments from large corporations and private investors. To the best of my knowledge, Google invests several hundred million U. S. dollars annually in quantum computing research. We certainly do not operate at that scale, nor do we have a venture capital ecosystem comparable to that of the United States.

It is not a matter of being the first to win the race. What is crucial is that we develop the capability to build these systems ourselves—so that we do not become dependent on others. Even if we were to come second, this would be far preferable to a scenario in which we fail to establish our own production capabilities in quantum technologies.

At a conference in Washington, D.C., an employee of the U. S. Department of Energy told me that, in the United States, there is a certain degree of envy toward Europe, as we provide public access to quantum computing systems, whereas the field there remains heavily dominated by large corporations such as IBM.

We have established the Jülich Unified Infrastructure for Quantum Computing (JUNIQ), which enables scientists worldwide to access the quantum computers integrated as coprocessors in our supercomputers via the internet. This approach allows even users without a background in physics to work with quantum computers. In previous projects at JUNIQ, quantum computers have been used, for example, to optimize the allocation of individual aircraft across scheduled flights and to model the folding of specific proteins, thereby contributing to a better understanding of neurodegenerative diseases such as Parkinson’s disease.

At the Helmholtz Association, we have launched the Quantum Use Challenge to identify concrete use cases for quantum technologies. This initiative spans all Helmholtz research areas—from health to Earth and environmental sciences to energy. We are currently working on translating research questions from these domains into the framework of quantum technologies.

For example, quantum simulators can support materials research for battery applications. A quantum simulator can reproduce the behavior of a material or chemical system in a way that classical computers cannot efficiently simulate. Instead of relying solely on mathematical models of a molecule, it arranges atoms in a geometry similar to that of the actual molecule and adjusts their interactions accordingly. This approach yields valuable insights into material properties relevant to battery performance, including higher capacity, longer lifespan, and greater energy efficiency. Another example is the application of quantum computers in fluid dynamics, particularly in climate science. Artificial intelligence models are already widely used in this field, and the integration of quantum-computing-assisted AI is an active area of research.

The timing of the first demonstration of quantum advantage remains uncertain. However, I am confident that quantum advantage will demonstrate its potential within the next ten years, particularly in the field of quantum simulation. We are working intensively on this at the Helmholtz Association.

Quantum Technology at Helmholtz

Readers comments

As curious as we are? Discover more.