MiqroForge: An Intelligent Workflow Platform for Quantum-Enhanced Computational Chemistry
Jianan Wang, Wenbo Guo, Xin Yue, Minjie Xu, Yueqiang Zheng, Jingxiang Dong, Jiarui Hu, Jian Xia, Chuixiong Wu

TL;DR
MiqroForge is an innovative platform that integrates quantum computing with AI-driven resource management to enhance collaborative, multi-scale computational chemistry workflows, making advanced simulations more accessible and efficient.
Contribution
It introduces a novel cross-scale platform combining AI scheduling, quantum computing, and collaborative tools for computational chemistry.
Findings
Enhanced computational efficiency through AI-driven scheduling.
Lowered entry barriers for quantum-enhanced simulations.
Fostered collaboration via shared resources and interfaces.
Abstract
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.
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Taxonomy
TopicsScientific Computing and Data Management · Machine Learning in Materials Science · Distributed and Parallel Computing Systems
