arXiv:2511.11752cs.AIcs.DL2025-11被引 12

AI自动生成并实现量子物理实验构想,推动科学自主化。

Towards autonomous quantum physics research using LLM agents with access to intelligent tools

  • 用大模型生成量子物理研究想法,调用专用工具转为可执行实验设计
  • 产出多个科学有意义的新概念,已衍生出两篇独立论文
  • 适合对智能科研、量子信息感兴趣的学者与工程师

人工智能广泛应用于科学领域,但研究问题与目标仍主要由人类提出。科学中的AI创意罕见且模糊,执行仍依赖人工。将创意生成与实施整合于统一系统,将显著改变人类在科学中的角色。本文提出AI-Mandel,一个能生成并实现量子物理研究构想的LLM代理。该系统从文献中提炼想法,利用领域专用AI工具将其转化为实验室可直接执行的实验设计。生成的想法具有科学价值:其中两项已催生独立科研论文,涵盖量子隐形传态新变体、不定因果序下的量子网络基元,以及基于量子信息传输闭合回路的几何相位新概念。AI-Mandel是首个实现创意生成与落地的AI物理学家原型,不仅加速科学研究,也揭示迈向人类级智能科学家的关键挑战。

原文摘要 · Abstract (English)

Artificial intelligence (AI) is used in numerous fields of science, yet the initial research questions and targets are still almost always provided by human researchers. AI-generated creative ideas in science are rare and often vague, so that it remains a human task to execute them. Automating idea generation and implementation in one coherent system would significantly shift the role of humans in the scientific process. Here we present AI-Mandel, an LLM agent that can generate and implement ideas in quantum physics. AI-Mandel formulates ideas from the literature and uses a domain-specific AI tool to turn them into concrete experiment designs that can readily be implemented in laboratories. The generated ideas by AI-Mandel are often scientifically interesting - for two of them we have already written independent scientific follow-up papers. The ideas include new variations of quantum teleportation, primitives of quantum networks in indefinite causal orders, and new concepts of geometric phases based on closed loops of quantum information transfer. AI-Mandel is a prototypical demonstration of an AI physicist that can generate and implement concrete, actionable ideas. Building such a system is not only useful to accelerate science, but it also reveals concrete open challenges on the path to human-level artificial scientists.

AI科研量子物理大模型应用自动实验设计

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