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| Autori principali: | , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2508.07583 |
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| _version_ | 1866916890558857216 |
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| author | Wang, Jianan Guo, Wenbo Yue, Xin Xu, Minjie Zheng, Yueqiang Dong, Jingxiang Hu, Jiarui Xia, Jian Wu, Chuixiong |
| author_facet | Wang, Jianan Guo, Wenbo Yue, Xin Xu, Minjie Zheng, Yueqiang Dong, Jingxiang Hu, Jiarui Xia, Jian Wu, Chuixiong |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_07583 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MiqroForge: An Intelligent Workflow Platform for Quantum-Enhanced Computational Chemistry Wang, Jianan Guo, Wenbo Yue, Xin Xu, Minjie Zheng, Yueqiang Dong, Jingxiang Hu, Jiarui Xia, Jian Wu, Chuixiong Chemical Physics Computational Physics Quantum Physics 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. |
| title | MiqroForge: An Intelligent Workflow Platform for Quantum-Enhanced Computational Chemistry |
| topic | Chemical Physics Computational Physics Quantum Physics |
| url | https://arxiv.org/abs/2508.07583 |