QuantiCoM QALPHAD & AMQS: Better Aerospace Materials with Quantum Computing
Quantum computing enables faster and more accurate simulations of advanced materials—helping to make aerospace systems lighter, stronger, and more efficient. In the DLR QCI QuantiCoM program, planqc develops quantum algorithms to model critical atomic-scale processes in metals and surfaces.
The Challenge
In aerospace, materials must withstand extreme conditions—temperature shifts, pressure, and chemical exposure—while remaining lightweight and durable. Designing such materials requires a deep understanding of how atoms interact on metal surfaces and within alloys. Classical simulations often fall short when electrons have significant contributions—making development slow, expensive, and reliant on trial and error.
Our Approach
In the project QuantiCoM | QALPHAD, planqc and our partners enhance the established CALPHAD method—used to predict the behavior of metal alloys—by integrating quantum embedding techniques. These allow the most complex regions of a material system, where quantum effects dominate, to be simulated on a quantum computer, while the rest is treated classically. This hybrid approach enables more accurate predictions of properties like phase stability or corrosion resistance, helping to develop lighter and more efficient aerospace materials.
In the project QuantiCoM | AMQS, planqc and our partners focus on simulating how hydrogen and water interact with metal surfaces—processes that are key to hydrogen storage and corrosion protection. Classical simulations often fail to capture effects due to strong electron correlations. Here, quantum algorithms provide deeper insight into surface reactions and degradation mechanisms, supporting the design of more durable materials for use in demanding aerospace and energy environments.
Whether for energy storage, aerospace, or high-performance materials, the accelerated development of new materials using quantum computers will drive numerous innovations that contribute to sustainability and growth.
The Potential
Our work supports the development of advanced aerospace materials that are lighter, more heat- and corrosion-resistant, and tailored for demanding environments—helping reduce fuel consumption, extend component lifetimes, and improve safety.
Beyond aerospace, the quantum-enhanced simulation methods developed in the project can also accelerate innovation in energy systems, automotive applications, and industrial chemistry—where material performance under extreme conditions is equally critical. By integrating quantum computing into material design, we lay the groundwork for faster, smarter, and more sustainable product development across multiple industries.
Project Lead
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Piero Naldesi
Senior Quantum Algorithm Expert