Imagine trying to solve a puzzle with a billion pieces using a slow calculator; that is how current computers handle complex physics. This work builds a smarter set of instructions for the next generation of super-fast quantum computers. It helps these machines ignore their own internal noise to find answers for battery and flight designs much faster.
Industries like aerospace and energy rely on simplistic models or expensive physical testing because current computers cannot solve the complex equations for aerodynamics or battery chemistry.
A library of quantum algorithmic primitives (differential equation solvers, optimizers) and a software stack to run them on noisy, limited quantum hardware.
If you are an aircraft manufacturer dealing with expensive wind tunnel testing for aerodynamics — this project developed quantum algorithms that simulate airflow more accurately. This reduces the need for physical build-and-test cycles.
If you are a battery developer dealing with slow materials discovery for Li-ion cells — this project developed simulation primitives that speed up the design of fuel cells. This helps accelerate the transition to zero emissions.
If you are a satellite operator dealing with complex space mission optimization and data processing — this project developed quantum optimizers to handle these calculations. This provides a competitive edge in mission planning.
Based on available project data, the EU contributed EUR 6,043,935 to develop these tools, but no commercial pricing for end-users is listed.
The project focuses on the 'near future' by developing strategies to maximize current limited hardware. It aims to move from scientific potential to industrial competitive advantage.
Based on available project data, the consortium includes 12 partners, but specific licensing terms or IP ownership are not detailed.
The project runs from 2022-11-01 to 2025-10-31, indicating a multi-year development cycle for these quantum primitives.
The project developed a top-down stack integration and a way to connect algorithms to specific hardware types via process documentation.
The consortium is heavily industry-driven, with a 67% industry ratio comprising 8 industrial partners and 2 SMEs. Led by Capgemini Deutschland GmbH, the group balances academic research (1 university, 3 research centers) with practical application, ensuring the 12 partners focus on real-world aerospace and energy problems rather than pure theory.
Contact Capgemini Deutschland GmbH regarding quantum algorithm implementation
Contact us to match your industrial use-case with these quantum primitives.
