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.
翻译:人工智能(AI)已在众多科学领域得到应用,但初始研究问题与目标仍几乎完全由人类研究者提出。AI在科学领域生成的创造性想法较为罕见且通常较为模糊,因此执行这些想法仍依赖于人类。将想法生成与实施自动化整合于一个连贯系统中,将显著改变人类在科学过程中的角色。本文提出AI-Mandel,一种能够生成并实施量子物理领域想法的LLM代理。AI-Mandel从文献中提炼想法,并利用领域专用AI工具将其转化为可直接在实验室实施的具体实验设计方案。AI-Mandel生成的想法常具有科学价值——其中两项已促成我们独立撰写后续科研论文。这些想法包括量子隐形传态的新变体、不定因果序中量子网络的基本构件,以及基于量子信息传递闭合回路的新型几何相位概念。AI-Mandel是AI物理学家原理性验证,能够生成并实施具体可行的研究构想。构建此类系统不仅有助于加速科研进程,更揭示了实现人类水平人工科学家所面临的具体开放挑战。