C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report
Abstract
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.
Cite
@article{arxiv.2604.04112,
title = {C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report},
author = {Boshuai Ye and Arif Ali Khan and Teemu Pihkakoski and Peng Liang and Muhammad Azeem Akbar and Matti Silveri and Lauri Malmi},
journal= {arXiv preprint arXiv:2604.04112},
year = {2026}
}
Comments
12 pages, 3 tables, Manuscript submitted to TOSEM Replicated Computational Results (RCR) Report (2026)