QC-Adviser: Quantum Hardware Recommendations for Solving Industrial Optimization Problems
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866911156937949184 |
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| author | Laps-Bouraba, Djamel Zajac, Markus Störl, Uta |
| author_facet | Laps-Bouraba, Djamel Zajac, Markus Störl, Uta |
| contents | The availability of quantum hardware via the cloud offers opportunities for new approaches to computing optimization problems in an industrial environment. However, selecting the right quantum hardware is difficult for non-experts due to its technical characteristics. In this paper, we present the QC-Adviser prototype, which supports users in selecting suitable quantum annealer hardware without requiring quantum computing knowledge. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_07625 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | QC-Adviser: Quantum Hardware Recommendations for Solving Industrial Optimization Problems Laps-Bouraba, Djamel Zajac, Markus Störl, Uta Quantum Physics Human-Computer Interaction The availability of quantum hardware via the cloud offers opportunities for new approaches to computing optimization problems in an industrial environment. However, selecting the right quantum hardware is difficult for non-experts due to its technical characteristics. In this paper, we present the QC-Adviser prototype, which supports users in selecting suitable quantum annealer hardware without requiring quantum computing knowledge. |
| title | QC-Adviser: Quantum Hardware Recommendations for Solving Industrial Optimization Problems |
| topic | Quantum Physics Human-Computer Interaction |
| url | https://arxiv.org/abs/2505.07625 |