mlsanityData to 14 Oct 2026

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

arXiv 2511.11752 ↗First posted 13 Nov 2025cs.AI cs.DL quant-phcited by 7

On the map: LLM agents and tool use → Web, search, and research agents

Abstract (arXiv)

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.

Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Placed in Web, search, and research agents, one of 16 directions in LLM agents and tool use. Builds on 36 of its 93 references that are in the map. First posted on arXiv 13 Nov 2025.

Builds on

36 of 93 references.

Closest ancestors · 4

Same direction, newest first

  1. 2025Agentic Exploration of Physics Models29 Sep
  2. 2025Can Theoretical Physics Research Benefit from Language Agents?6 Jun
  3. 2024Agents for self-driving laboratories applied to quantum computing10 Dec
  4. 2024Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers6 Sep

Other references · 32

  1. 2024The AI Scientist: Towards Fully Automated Open-Ended Scientific Discoverycited by 1,071
  2. 2025AlphaEvolve: A coding agent for scientific and algorithmic discoverycited by 867
  3. 2023ChemCrow: Augmenting large-language models with chemistry toolscited by 631
  4. 2019AI Feynman: a Physics-Inspired Method for Symbolic Regressioncited by 548
  5. 2025Accelerating scientific discovery with Co-Scientistcited by 401
  6. 2024ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Modelscited by 210
  7. 2023SciMON: Scientific Inspiration Machines Optimized for Noveltycited by 179
  8. 2024The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learningcited by 145
  9. 2024A Review of Large Language Models and Autonomous Agents in Chemistrycited by 99
  10. 2025Kosmos: An AI Scientist for Autonomous Discoverycited by 92
  11. 2022On scientific understanding with artificial intelligencecited by 70
  12. 2024Efficient Evolutionary Search Over Chemical Space with Large Language Modelscited by 61
20 more
  1. 2025El Agente: An Autonomous Agent for Quantum Chemistrycited by 44
  2. 2022Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge networkcited by 36
  3. 2020Discovering Symmetry Invariants and Conserved Quantities by Interpreting Siamese Neural Networkscited by 33
  4. 2019Predicting Research Trends with Semantic and Neural Networks with an application in Quantum Physicscited by 25
  5. 2024Forecasting high-impact research topics via machine learning on evolving knowledge graphscited by 22
  6. 2024Generating Interesting Scientific Ideas using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaderscited by 22
  7. 2024Real-time gravitational-wave inference for binary neutron stars using machine learningcited by 21
  8. 2025The Denario project: Deep knowledge AI agents for scientific discoverycited by 21
  9. 2020Computer-inspired Quantum Experimentscited by 18
  10. 2024Automating the Practice of Science -- Opportunities, Challenges, and Implicationscited by 18
  11. 2024Symmetry-Informed Governing Equation Discoverycited by 15
  12. 2025How Far Are AI Scientists from Changing the World?cited by 15
  13. 2025Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Modelscited by 14
  14. 2024Meta-Designing Quantum Experiments with Language Modelscited by 12
  15. 2025QUASAR: Quantum Assembly Code Generation Using Tool-Augmented LLMs via Agentic RLcited by 11
  16. 2023Towards a Benchmark for Scientific Understanding in Humans and Machinescited by 9
  17. 2025Predicting New Research Directions in Materials Science using Large Language Models and Concept Graphscited by 9
  18. 2025An Agentic Framework for Autonomous Metamaterial Modeling and Inverse Designcited by 8
  19. 2025AI Agents for Photonic Integrated Circuit Design Automationcited by 7
  20. 2025Improving cosmological reach of a gravitational wave observatory using Deep Loop Shapingcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 7.

7 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026TheoPhysEval: Assessing AI agents at autonomous theoretical physics problem solving
  2. 2025PhysMaster: Building an Autonomous AI Physicist for Theoretical and Computational Physics Research
  3. 2026Agentic AI for Scientific Reasoning in Autonomous Quantum Sensing Experiments
  4. 2026AI Agents Can Already Autonomously Perform Experimental High Energy Physics
  5. 2025AI-Researcher: Autonomous Scientific Innovation
  6. 2026El Agente Forjador: Task-Driven Agent Generation for Quantum Simulation
  7. 2025Advancing AI-Scientist Understanding: Multi-Agent LLMs with Interpretable Physics Reasoning
  8. 2025AI Needs Physics More Than Physics Needs AI