Eichhorn, DomenikSchweikart, MaximilianPoster, NickOsborne, TobiasSchaefer, InaKlein, MaikeKrupka, DanielWinter, CorneliaWohlgemuth, Volker2023-11-292023-11-292023978-3-88579-731-9https://dl.gi.de/handle/20.500.12116/43047Quantum computing has the potential to exponentially accelerate the solution of specific problems compared to classical computing. However, the accessibility to quantum computing is currently limited due to the technical challenges posed by quantum devices. Additionally, implementing quantum algorithms is challenging because of the complex nature of quantum systems. To address these challenges, we introduce the ProvideQ Toolbox, a framework designed to enhance the accessibility of quantum computing, especially for optimization problems. Our toolbox includes a range of classical and quantum state-of-the-art optimization algorithms and employs meta-solver strategies to determine the best quantum optimization algorithm or quantum subroutine in a classical algorithm for a given optimization problem. The ProvideQ Toolbox can be used via a web-based frontend and an API and can be seamlessly integrated with multiple quantum computing backends and classical optimization frameworks.enquantum software engineeringquantum algorithmsmeta-solver strategyText/Conference Paper10.18420/inf2023_1251617-5468