Problem
Research questions and friction points this paper is trying to address.
classical-quantum bridging
quantum software development
hardware-agnostic framework
program translation
executable quantum programs
C2|Q>: A Robust Framework for Bridging Classical and Quantum Software Development -- RCR Report
🤖 AI Summary
This work proposes the first framework capable of automatically compiling general-purpose classical code into quantum programs executable across multiple backends, thereby bridging the development gap between classical software and quantum computing. Leveraging a pretrained parsing model, a modular compilation architecture, and cross-platform quantum circuit generation techniques, the framework translates problem specifications—provided in Python or structured JSON—into hardware-agnostic, executable quantum programs spanning ten representative problem classes. The complete toolchain, including a PyPI package, pretrained models, and evaluation datasets, is open-sourced. Empirical validation through three core experiments demonstrates the framework’s effectiveness, robustness, and reproducibility across diverse problem families and quantum hardware platforms.
📝 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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
quantum software development
hardware-agnostic framework
classical-to-quantum translation
modular architecture
reproducible research
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