About


Introduction:

This workshop highlights recent developments in applying artificial intelligence and quantum computing to condensed matter physics, with a focus on practical tools such as tensor networks. Topics include quantum algorithms, quantum embedding, machine learning, and the simulation of strongly correlated systems, highlighting how modern computational approaches are helping us better study and understand complex quantum systems.

Website: SQAI-NCTS Workshop on Quantum Technologies and Machine Learning

Invited Speakers:

Pochung Chen (NTHU)
Marcello Delmonte (ICTP)
Sergey Dolgov (Univ. of Bath)
Koji Hashimoto (Kyoto U.)
Hsing-Yuan Huang (Caltech)
Masatoshi Imada (Sofia U.)
Ying-Jer Kao (NTU)
Frank Pollmann (TUM)
Synge Todo (Univ. of Tokyo)
Simon Trebst ((Univ. of Cologne)
Daw-Wei Wang (NTHU)
Lei Wang (IoP, CAS)
Naoki Yamamoto (Keio Univ.)
... (...)


Organizers:

Organizing Committee Chair
Ying-Jer Kao (NTU)
Synge Todo (Univ. of Tokyo)

Vice Organizers
Chia-Min Chung (NSYSU)
Shunsuke Furukawa (Keio Univ.)
Yi-Ping Huang (NTHU)
Ching-Yu Huang (THU)
Naoki Kawashima (Univ. of Tokyo)
Ian McCulloch (NTHU)
Satoshi Morita (Keio Univ.)
Yusuke Nomura (Keio Univ.)
Tsuyoshi Okubo (Univ. of Tokyo)
Wei-Lin Tu (Keio Univ.)

Sponsors
National Center for Theoretical Sciences
The Center of Innovations for Sustainable Quantum AI (JST Grant Number JPMJPF2221)

Contact
Renee / renee@phys.ncts.ntu.edu.tw