The connect-fill-run workflow paradigm, widely adopted in mature software engineering, accelerates collaborative development. However, computational chemistry, computational materials science, and computational biology face persistent demands for multi-scale simulations constrained by simplistic platform designs. We present MiqroForge, an intelligent cross-scale platform integrating quantum computing capabilities. By combining AI-driven dynamic resource scheduling with an intuitive visual interface, MiqroForge significantly lowers entry barriers while optimizing computational efficiency. The platform fosters a collaborative ecosystem through shared node libraries and data repositories, thereby bridging practitioners across classical and quantum computational domains.
@article{arxiv.2508.07583,
title = {MiqroForge: An Intelligent Workflow Platform for Quantum-Enhanced Computational Chemistry},
author = {Jianan Wang and Wenbo Guo and Xin Yue and Minjie Xu and Yueqiang Zheng and Jingxiang Dong and Jiarui Hu and Jian Xia and Chuixiong Wu},
journal= {arXiv preprint arXiv:2508.07583},
year = {2025}
}