This article gives an overview of the ProvideQ Toolbox, a software framework that utilizes so-called Meta-Solver Strategies to solve combinatorial optimization problems with hybrid quantum-classical computing methods. We reuse existing state-of-the-art methods from classical and quantum computing, with the goal of combining the best of both worlds. We hide the implementations of algorithms, parsers, circuit-optimization techniques, and other complex tasks behind accessible and easy-to-understand user interfaces, which drastically improves the usability for non-experts. This article is a short summary of an already published paper. An extended description of this contribution can be found in our full-paper Ei25 or by visiting us on GitHub Pr25.
Eichhorn et al. (Thu,) studied this question.