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SUMMARY:Towards an Artificial Muse for New Ideas in Physics
DTSTART:20260528T121500Z
DTEND:20260528T131500Z
DTSTAMP:20260520T052200Z
UID:indico-event-133@indico.zdv.uni-mainz.de
DESCRIPTION:Speakers: Mario Krenn (University of Tübingen)\n\nArtificial 
 intelligence (AI) is a potentially disruptive tool for physics and science
  in general. One crucial question is how this technology can contribute at
  a conceptual level to help acquire new scientific understanding or inspir
 e new surprising ideas. I will talk about how AI can be used as an artific
 ial muse in physics\, which suggests surprising and unconventional ideas a
 nd techniques that the human scientist can interpret\, understand and gene
 ralize to its fullest potential [1]. I will focus on AI for the design of 
 new physics experiments\, in the realm of quantum-optics [2\, 3] and quant
 um-enhanced gravitational wave detectors [4] as well as super-resolution m
 icroscopy [5]. In the end\, i will talk about AI-Mandel [6]\, a closed-loo
 p discovery system that automatically generates new ideas in quantum physi
 cs [7] and can execute and verify them with intelligent domain tools\, wit
 h ideas being at the level of publishable works in quantum physics.[1] Kre
 nn\, Pollice\, Guo\, Aldeghi\, Cervera-Lierta\, Friederich\, Gomes\, Häse
 \, Jinich\, Nigam\, Yao\, Aspuru-Guzik\, On scientific understanding with 
 artificial intelligence. Nature Reviews Physics 4\, 761 (2022).[2] Krenn\,
  Kottmann\, Tischler\, Aspuru-Guzik\, Conceptual understanding through eff
 icient automated design of quantum optical experiments. Physical Review X 
 11(3)\, 031044 (2021).[3] Ruiz-Gonzalez\, Arlt\, et al.\, Digital Discover
 y of 100 diverse Quantum Experiments with PyTheus\, Quantum 7\, 1204 (2023
 ).[4] Krenn\, Drori\, Adhikari\, Digital Discovery of interferometric Grav
 itational Wave Detectors\, in press: Phys. Rev. X 15\, 021012 (2025).[5] R
 odríguez\, Arlt\, Möckl\, Krenn\, Automated discovery of experimental de
 signs in super-resolution microscopy with XLuminA\, Nature Comm. 15\, 1065
 8 (2024)[6] Arlt\, Gu\, Krenn\, Towards autonomous quantum physics researc
 h using LLM agents with access to intelligent tools. arXiv:2511.11752 (202
 5).[7] Gu\, Krenn\, Interesting Scientific Idea Generation Using Knowledge
  Graphs and LLMs: Evaluations with 100 Research Group Leaders. arXiv:2405.
 17044 (2024)\n\nhttps://indico.zdv.uni-mainz.de/event/133/
LOCATION:Lorentz (IPH)
URL:https://indico.zdv.uni-mainz.de/event/133/
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