Two very different mathematical objects are getting increasingly popular to represent objects in a compressed way: neural networks and tensor networks. Both are mathematical functions that can approximate various things e.g. the probability distribution of text (in a large language model), the solution of a partial differential equation or the ground state of a quantum many-body system. Both use some form of lossy compression, albeit of very different nature, and in both cases, it is not necessarily easy to know which object will compress well and which won’t. There are in fact intimate connections between the two types of networks and both rely on heavily optimized linear algebra libraries. There are on the other hand important differences as well: what one lacks in expressivity (pretty much everything can be fitted with a neural network; tensor networks are perhaps less flexible), may be complemented by advanced algorithms (tensor networks provide efficient routes to calculate many things without the need for stochastic methods).

This workshop will gather experts of both fields with a focus on the application to quantum many-body physics: neural quantum states on one hand and tensor network states on the other.  The goal, besides discussing the latest developments and bridging the two communities together, is to explore approaches that somehow lie at the interplay between the two fields.

The schedule will be kept relatively light to leave much room for scientific discussions. The first day will be devoted to tutorial sessions opened to a larger public to put everyone on the same page. There will be half a day devoted to an introduction to tensor networks by Miles Stoudenmire and half a day devoted to an introduction to modern neural networks by Lei Wang.

Confirmed invited speaker: 

• Juan Carrasquilla Alvarez (ETH Zurich, Switzerland) ; 
  
• Juan Garrahan (University of Nottingham, UK)
• Eliška Greplová (TU Delft, Netherlands) ;  
• Hiroshi Shinaoka (Saitama Univeristy, Japan)
• Jannes Nys (ETH Zurich, Switzerland) ;
• Miha Srdinšek (Phéliqs, CEA, UGA, Grenoble France) ; 
• Nisarga  Paul (California Institute of Technology, USA)
  
• Joseph Tindall (Flatiron Institute, New York USA) ;
• Filippo Vicentini (Institut Polytechnique de Paris, France) ;
• 武琰涛 Yantao Wu (Institute of Physics, Chinese Academy of Sciences, Beijing, China)
• Tao Xiang (Institute of Physics, Chinese Academy of Sciences, Beijing, China)

To be confirmed: 

• Liang Fu (MIT, USA)

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⚠️ Please note that : 

• Attending the workshop is free but subject to approval. 
• A separate registration is necessary for the first day of the workshop (tutoriel session). You will find the registration form on the planning page.

Abstract submissions & registration: until May 15th, 2026

Acceptance notification for both oral presentation and attendance: May 25th, 2026

The workshop: from Monday July 6th 8:30 am to Friday July 10th, 12:00 pm. 

Lei Wang (Chinese Academy of Science, Beijing China), Miles Stoudenmire (CCQ Flatiron Institute, New York USA) and Xavier Waintal (Pheliqs CEA Grenoble, Université Grenoble Alpes, France)

Maison du Quantiques Alpes is a transverse project coordinated by University Grenoble Alpes (UGA) as part of a consortium of actors involving CEA (Alternative and Atomic Energies Agency), CNRS (National Center for Scientific Research), Inria (National Institute for Research in Digital Science and Technology) and Grenoble INP - UGA (Grenoble Polytechnical Institute). The objective is to be a place of exchange for all communities interested in quantum computing and to guide indutrials from all sectors on the possibilities of developing these approaches for theirs business applications.