Tensor network formulation of many-body systems are widely used in various research fields of sciences, bringing theoretical and numerical approaches from a different perspective from the conventional ones. Recently, tensor network-based ideas are also rapidly gaining popularity in the fields such as quantum algorithms, quantum computation, and machine learning. The aim of this workshop is to provide a broad overview of the recent progress based on tensor network formalism, mainly in the fields of particle, nuclear, and condensed matter physics, as well as informatics, to encourage the exchange of information among different communities, and to stimulate new developments in the field of tensor networks.
Event Information
Invited Speakers
Jacques Bloch (University of Regensburg)
Kaito Kobayashi (The University of Tokyo)
Keisuke Murota (The University of Tokyo)
Tsuyoshi Okubo (Niigata University)
Seishiro Ono (The University of Tokyo)
Atsushi Ueda (Ghent University)
Ryo Watanabe (The University of Osaka)
Tilo Wettig (University of Regensburg)
Tatsuya Yokota (Nagoya Institute of Technology)
Program
December 7th
December 8th
December 9th
Registration
- Deadline for in-person registration：November 7th, 2026
- If you need travel expense assistance or wish to give an oral presentation, please complete your registration by September 23rd, 2026
- Deadline for online registration：December 1st, 2026
- Registration form
Contact us
Shinichiro Akiyama (University of Tsukuba) akiyama_at_ccs.tsukuba.ac.jp
Organizers
- Shinichiro Akiyama (University of Tsukuba)
- Yoshinobu Kuramashi (University of Tsukuba)
- Tsuyoshi Okubo (Niigata University)
- Shinji Takeda (Kanazawa University)
Supported by
- Institute for Theoretical Physics, Kanazawa University
- Center for Computational Sciences, University of Tsukuba
- Grant-in-Aid for Scientific Research (A) 24H00214 "New development of computational particle physics with tensor network method"
- Grant-in-Aid for Scientific Research (C) 25K07280 "Development of higher dimensional tensor network coarse-graining algorithms and their application to elementary particle physics"
- Grant-in-Aid for Transformative Research Areas (A) 25H01510 "Development of tensor renormalization group utilizing machine learning and their applications to lattice gauge theory"
Previous workshops
