AI and Quantum Information Applications in Fundamental Physics
Konjiam Resort
Data from particle physics is unique and challenging due to its tremendous size and complicated structure stemming from its quantum nature.
The goal of this focus-workshop is to develop novel techniques for the future exploration of new physics, exploring exciting developments in the field of machine learning and quantum computing with quantum information.
The structure of the workshop is designed to survey the core questions in new physics searches and to stimulate intense discussion/collaboration among participants.
Invited Speakers
- Machine Learning:
- Suyong Choi (Korea Univ.)
- Barry M. Dillon (Univ. Heidelberg)*
- Aishik Ghosh (UC Irvine)
- Gregor Kasieczka (Hamburg Univ.)
- Claudius Krause (Univ. Heidelberg)
- Yung-Kyun Noh (Hanyang U. / KIAS)
- David Shih (Rutgers Univ.)
- Quantum Computing / Quantum Machine Learning:
- Jack Araz (Durham Univ. IPPP)
- Andrea Delgado (Oak Ridge National L.)*
- Marat Freytsis (Rutgers Univ.)
- Daniel K. Park (Yonsei U.)
*: online
Important notices:
- A number of rooms at the workshop hotel have been booked in preparation for the workshop.
Invited speakers will have their accommodation (including meals) covered by the workshop.
Aishik Ghosh
Claudius Krause
Daniel Kyungdeock Park
Daohan Wang
David Shih
Eunok Bae
Gregor Kasieczka
Jack Araz
Jae-hyeon Park
Jeong Han Kim
Jeonghyeon Song
Junghwan Goh
Kayoung Ban
KC Kong
Myeonghun Park
Prasenjit Sanyal
Raymundo Ramos
Seong Chan Park
Seung J. Lee
So Young Shim
SooJin Lee
Suyong Choi
Thomas Flacke
Yung-Kyun Noh
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