Tensor network is a new language for talking about many-body problems. Having emerged from quantum information description of simple wave functions, it is now regarded as an extremely precise method for computing partition functions of classical or quantum lattice models, a wave function describing novel quantum states, a new framework of real-space renormalization group, a representation manifesting hidden symmetries and orders, a cure to the notorious negative-sign problem, a systematic way of information compression, a computable representation of AdS/CFT correspondence, ...
| Mari-Carmen Bañuls (MPQ) | Philippe Corboz (Amsterdam) | Glen Evenbly (UCI) |
| Ying-Jer Kao (NTU) | Naoki Kawashima (ISSP) | Örs Legeza (Wigner RCP) |
| Tomotoshi Nishino (Kobe) | Román Orús (Mainz) | Masaki Oshikawa (ISSP) |
| Frank Pollmann (MPIPKS) | Norbert Schuch (MPQ) | Luca Tagliacozzo (U. Strathclyde) |
| Tadashi Takayanagi (Kyoto) | Takami Tohyama (TUS) | Frank Verstraete (Vienna) |
| Tao Xiang (CAS, Beijing) |
| Kenji Harada (Kyoto) | Haijun Liao (CAS, Beijing) | Satoshi Morita (ISSP) |
| Naoki Nakatani (Hokkaido U.) | Tsuyoshi Okubo (ISSP) | Hiroshi Ueda (AICS, RIKEN) |
| Zhiyuan Xie (RUC, Beijing) | Takeshi Yanai (IMS) | Hui-Hai Zhao (Tokyo) |
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