Announcements

Upcoming events


  • The postponed Bethe Forum "Machine Learning: Where to Apply in Theoretical Physics" will take place June 27 - July 1, 2022.
    Organizers: F. Rühle (Boston), J. Halverson (Boston) and H. P. Nilles (Bonn).
  • Bethe Colloquium, June 30, 2022, by Koji Hashimoto (Kyoto University) - Online meeting
  • The "Bethe Forum "Multihadron Dynamics in a Box - A.D. 2022", originally scheduled for February 21 - 25, 2022, has been postponed to August 15 - 19.
    Organizers: M. Mai (Bonn), U.-G. Meißner (Bonn/FZ Jülich), A. Rusetsky (Bonn) and C. Urbach (Bonn)
  • The Bethe Forum "Axions" will take place on October 10 - 14, 2022.
    Organizers: S. Pokorski (Warsaw), H. P. Nilles (Bonn), T. Gherghetta (Minneapolis) and E. Dudas (Palaiseau)

Further information will be given as soon as possible.

Bethe Forum "Machine Learning: Where to Apply in Theoretical Physics"

27.06.2022 – 01.07.2022
Poster Machine Learning
The Bethe Forum "Machine Learning: Where to Apply in Theoretical Physics", initially planned for June 2020, has been rescheduled to June 27 - July 1, 2022. The Forum is organized by F. Rühle (Boston), J. Halverson (Boston) and H. P. Nilles (Bonn).
For further information and registration, please visit the event webpage.



Bethe Colloquium by Koji Hashimoto

June 2022

The next Bethe Colloquium will take place on Thursday, June 30, at 4:15 p.m. as an online meeting. The talk will be held within the program of the Bethe Forum "Machine Learning: Where to Apply in Theoretical Physics", June 27 - July 1, 2022, in the bctp.

  • Koji Hashimoto (Kyoto University)
  • Deep learning and quantum gravity
  • Online meeting

Abstract: Formulating quantum gravity is one of the final goals of fundamental physics. Recent progress in string theory brought a concrete formulation called AdS/CFT correspondence, in which a gravitational spacetime emerges from lower-dimensional non gravitational-quantum systems, but we still lack understanding how the correspondence works. At this end, I discuss similarities between quantum gravity and deep learning architecture, by regarding the neural network as a discretized spacetime. The application of machine learning in physics has been successful in some subjects, which I will review, and I use it to implement the AdS/CFT framework into a deep learning architecture, and show the emergence of a curved spacetime as a neural network, from a given teacher data of quantum systems. For the zoom link please contact theory@physik.uni-bonn.de.

Bethe Forum "Multihadron Dynamics in a Box - A.D. 2022"

15.08.2022 – 19.08.2022
Poster Multihadron 2022
The Bethe Forum "Multihadron Dynamics in a Box - A.D. 2022", postponed from February 21-25, 2022, will take place in the bctp as a follow-up event of the conference "Lattice2022" in Bonn. The organizers are M. Mai (Bonn), U.-G. Meißner (Bonn / Jülich), A. Rusetsky and C. Urbach (both Bonn).

For more information and the registration form please see the event webpage.

Further events will be announced as soon as possible.