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| Format: | Preprint |
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2024
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| Online-Zugang: | https://arxiv.org/abs/2406.19876 |
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| _version_ | 1866912560620503040 |
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| author | Rohe, Tobias Grätz, Simon Kölle, Michael Zielinski, Sebastian Stein, Jonas Linnhoff-Popien, Claudia |
| author_facet | Rohe, Tobias Grätz, Simon Kölle, Michael Zielinski, Sebastian Stein, Jonas Linnhoff-Popien, Claudia |
| contents | With constant improvements of quantum hardware and quantum algorithms, quantum advantage comes within reach. Parallel to the development of the computer at the end of the twentieth century, quantum software development will now also rapidly gain in importance and scale. On account of the inherent complexity and novelty of quantum computing (QC), as well as the expected lack of expertise of many of the stakeholders involved in its development, QC software development projects are exposed to the risk of being conducted in a crowded and unstructured way, lacking clear guidance and understanding. This paper presents a comprehensive quantum optimisation development pipeline, novel in its depth of 22 activities across multiple stages, coupled with project management insights, uniquely targeted to the late noisy intermediate-scale quantum (NISQ) [1] and early post-NISQ eras. We have extensively screened literature and use-cases, interviewed experts, and brought in our own expertise to develop this general quantum pipeline. The proposed solution pipeline is divided into five stages: Use-case Identification, Solution Draft, Pre-Processing, Execution and Post-Processing. Additionally, the pipeline contains two review points to address the project management view, the inherent risk of the project and the current technical maturity of QC technology. This work is intended as an orientation aid for all stakeholders involved in the development of QC applications and should therefore increase the chances of success of quantum software projects. We encourage researchers to adapt and extend the model where appropriate, as technological development also continues. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_19876 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | From Problem to Solution: A general Pipeline to Solve Optimisation Problems on Quantum Hardware Rohe, Tobias Grätz, Simon Kölle, Michael Zielinski, Sebastian Stein, Jonas Linnhoff-Popien, Claudia Quantum Physics With constant improvements of quantum hardware and quantum algorithms, quantum advantage comes within reach. Parallel to the development of the computer at the end of the twentieth century, quantum software development will now also rapidly gain in importance and scale. On account of the inherent complexity and novelty of quantum computing (QC), as well as the expected lack of expertise of many of the stakeholders involved in its development, QC software development projects are exposed to the risk of being conducted in a crowded and unstructured way, lacking clear guidance and understanding. This paper presents a comprehensive quantum optimisation development pipeline, novel in its depth of 22 activities across multiple stages, coupled with project management insights, uniquely targeted to the late noisy intermediate-scale quantum (NISQ) [1] and early post-NISQ eras. We have extensively screened literature and use-cases, interviewed experts, and brought in our own expertise to develop this general quantum pipeline. The proposed solution pipeline is divided into five stages: Use-case Identification, Solution Draft, Pre-Processing, Execution and Post-Processing. Additionally, the pipeline contains two review points to address the project management view, the inherent risk of the project and the current technical maturity of QC technology. This work is intended as an orientation aid for all stakeholders involved in the development of QC applications and should therefore increase the chances of success of quantum software projects. We encourage researchers to adapt and extend the model where appropriate, as technological development also continues. |
| title | From Problem to Solution: A general Pipeline to Solve Optimisation Problems on Quantum Hardware |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2406.19876 |