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English(EN) SQD-Agent: LLM-driven agentic framework for Quantum Chemistry workflows

LLM驱动的代理简化量子化学工作流

研究人员开发了SQD-Agent,一个基于LLM的框架,旨在简化量子化学工作流的创建。该代理将自然语言指令转换为可执行的混合量子-经典计算,特别是利用了基于采样的量子对角化(SQD)算法家族。通过自动化量子算法实现和系统集成的复杂过程,SQD-Agent旨在降低量子计算新手研究人员的入门门槛,使他们能够更轻松地进行实验。 AI

影响 该框架可以通过抽象化复杂的量子计算实现细节来加速量子化学研究。

排序理由 该条目描述了一个在arXiv研究论文中提出的量子化学工作流新框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.MA (Multiagent) 阅读 →

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LLM驱动的代理简化量子化学工作流

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该条目描述了一个在arXiv研究论文中提出的量子化学工作流新框架。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Anupama Ray ·

    SQD-Agent: LLM驱动的量子化学工作流代理框架

    Quantum algorithms and quantum hardware are advancing towards a promising paradigm for scientific applications. However, translating domain-specific problems into executable hybrid quantum-classical workflows remains a significant barrier for application researchers due to the re…