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.
- 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.)
- 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.