C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report

TL;DR

This paper presents a modular, hardware-agnostic framework that translates classical problem specifications into quantum programs, supporting multiple problem families and hardware backends, with accompanying open-source tools and models.

Contribution

It introduces a novel framework bridging classical and quantum software development, with open-source code, pretrained models, and comprehensive experimental setup instructions.

Findings

Framework successfully translates classical specs to quantum programs across ten problem families.

Open-source tools and pretrained models facilitate reproducibility and experimentation.

The framework supports multiple hardware backends, demonstrating versatility.

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.