QuSol

QuSol, short for Quantum Optimization Solver Kit, is a quantum computing project funded by the BMBF.
Project duration: 01.01.2025 - 31.12.2027

The QuSol Vision:

Optimization challenges in production planning are inherently complex due to numerous input parameters and constraints, and political and economic uncertainties only add to this complexity. Efficiently solving these problems is crucial for industrial process planning—where even a one-percent improvement can translate into millions of euros in gains.
At QuSol, we explore how quantum algorithms can enhance the solving of highly complex optimization problems, using real-world examples from Infineon Technologies AG’s semiconductor manufacturing processes. Our research spans both short-term and long-term applications of quantum computing. We analyze potential advantages within the current Noisy Intermediate-Scale Quantum (NISQ) era as well as the future Fault-Tolerant Quantum Computing era, ensuring a comprehensive assessment of quantum computing’s impact.

Our Approach:

At QuSol, we bring together experts from computer science, mathematics, and physics to tackle the challenges of quantum computing from multiple perspectives. Our research focuses on exploring innovative ways to model mathematical problems, breaking them down into classical and quantum subroutines, and developing new hybrid algorithms that can accelerate computations and/or improve solution quality.

To ensure accessibility and transparency, all our research is implemented in the ProvideQ toolbox—an open-source software tool. By making our work publicly available, we aim to foster collaboration, drive further advancements, and support the broader quantum computing community in leveraging our findings.

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