Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | INFORMATIK 2023 - Designing Futures |
| Untertitel | Zukunfte gestalten, Proceedings |
| Herausgeber/-innen | Maike Klein, Daniel Krupka, Cornelia Winter, Volker Wohlgemuth |
| Herausgeber (Verlag) | Gesellschaft fur Informatik (GI) |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9783885797319 |
| Publikationsstatus | Veröffentlicht - 2023 |
| Veranstaltung | Designing Futures: Zukunfte gestalten, INFORMATIK 2023 - Berlin, Deutschland Dauer: 26 Sept. 2023 → 29 Sept. 2023 |
Publikationsreihe
| Name | Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI) |
|---|---|
| Band | P-337 |
| ISSN (Print) | 1617-5468 |
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.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
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INFORMATIK 2023 - Designing Futures: Zukunfte gestalten, Proceedings. Hrsg. / Maike Klein; Daniel Krupka; Cornelia Winter; Volker Wohlgemuth. Gesellschaft fur Informatik (GI), 2023. (Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI); Band P-337).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Providing Quantum Readiness
T2 - Designing Futures: Shaping the Future, INFORMATIK 2023
AU - Eichhorn, Domenik
AU - Schweikart, Maximilian
AU - Poser, Nick
AU - Osborne, Tobias
AU - Schaefer, Ina
N1 - Funding Information: This work has been supported by the German Federal Ministry for Economics and Climate Action in project ProvideQ (reference number: 01MQ22006F).
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - meta-solver strategy
KW - quantum algorithms
KW - quantum software engineering
UR - http://www.scopus.com/inward/record.url?scp=85181129824&partnerID=8YFLogxK
U2 - 10.18420/inf2023_125
DO - 10.18420/inf2023_125
M3 - Conference contribution
AN - SCOPUS:85181129824
T3 - Lecture Notes in Informatics (LNI), Proceedings - Series of the Gesellschaft fur Informatik (GI)
BT - INFORMATIK 2023 - Designing Futures
A2 - Klein, Maike
A2 - Krupka, Daniel
A2 - Winter, Cornelia
A2 - Wohlgemuth, Volker
PB - Gesellschaft fur Informatik (GI)
Y2 - 26 September 2023 through 29 September 2023
ER -