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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.04112 |
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| _version_ | 1866908939289886720 |
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| author | Ye, Boshuai Khan, Arif Ali Pihkakoski, Teemu Liang, Peng Akbar, Muhammad Azeem Silveri, Matti Malmi, Lauri |
| author_facet | Ye, Boshuai Khan, Arif Ali Pihkakoski, Teemu Liang, Peng Akbar, Muhammad Azeem Silveri, Matti Malmi, Lauri |
| contents | This is the Replicated Computational Results (RCR) Report for the paper C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development. The paper introduces a modular, hardware-agnostic framework that translates classical problem specifications - Python code or structured JSON - into executable quantum programs across ten problem families and multiple hardware backends. We release the framework source code on GitHub at https://github.com/C2-Q/C2Q, a pretrained parser model on Zenodo at https://zenodo.org/records/19061125, evaluation data in a separate Zenodo record at https://zenodo.org/records/17071667, and a PyPI package at https://pypi.org/project/c2q-framework/ for lightweight CLI and API use. Experiment 1 is supported through a released pretrained model and training notebook, while Experiments 2 and 3 are directly executable via documented make targets. This report describes the artifact structure, setup instructions, and the mapping from each execution route to the corresponding experiment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_04112 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report Ye, Boshuai Khan, Arif Ali Pihkakoski, Teemu Liang, Peng Akbar, Muhammad Azeem Silveri, Matti Malmi, Lauri Software Engineering This is the Replicated Computational Results (RCR) Report for the paper C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development. The paper introduces a modular, hardware-agnostic framework that translates classical problem specifications - Python code or structured JSON - into executable quantum programs across ten problem families and multiple hardware backends. We release the framework source code on GitHub at https://github.com/C2-Q/C2Q, a pretrained parser model on Zenodo at https://zenodo.org/records/19061125, evaluation data in a separate Zenodo record at https://zenodo.org/records/17071667, and a PyPI package at https://pypi.org/project/c2q-framework/ for lightweight CLI and API use. Experiment 1 is supported through a released pretrained model and training notebook, while Experiments 2 and 3 are directly executable via documented make targets. This report describes the artifact structure, setup instructions, and the mapping from each execution route to the corresponding experiment. |
| title | C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2604.04112 |