Domenik Eichhorn, Maximilian Schweikart, Nick Poser, Tobias Osborne, Ina Schaefer.
In this paper, we introduce our vision for the
ProvideQ Toolbox, a software tool for facilitating the
integration of efficient quantum algorithms into existing software stacks.
Abstract
Quantum 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.
@incollection{incollection, author = "Eichhorn, Domenik and Schweikart, Maximilian and Poster, Nick and Osborne, Tobias and Schaefer, Ina", title = "Providing Quantum Readiness: The Vision of the ProvideQ Toolbox", year = 2023, doi = "10.18420/inf2023_125", booktitle = "INFORMATIK 2023 - Designing Futures: Zukünfte gestalten", publisher = "Gesellschaft für Informatik e.V.", address = "Bonn", pissn = "1617-5468", isbn = "978-3-88579-731-9", pages = "1129--1133",}