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This year’s QUC School on A.I. in High Energy Physics will cover the recent developments in scattering amplitudes for the SM EFT, gravitational particle productions, axion, (quantum) machine learning, and quantum computing and their applications in HEP. These developments have the potential to transform the way HEP research is conducted, and the applications will be explored in-depth during the school. This year’s QUC School promises to be an exciting and informative event for those interested in ML/QML and theoretical aspects of high energy physics.
The main themes of the school are the following:
- Machine Learning (ML), Quantum Machine Learning (QML)
- Quantum Computing (QC)
- Gravitational particle productions
- Amplitude methods for SMEFT
- Axion
Date : July 3-14, 2023
Venue : Rm 1503, Building #1, KIAS
Deadline for registration :
- Offline attendance: June 27 (Tue)
(1) 1st week : ML, QC, QML
ML1: Myeonghun Park (Seoul National University of Science and Technology)
ML2: Ramon Winterhalder (UC Louvain)
QC/QML1: Sergei Gleyzer (University of Alabama)
QML2: Jack Araz (Durham University)
(2) 2nd week :
Axion physics : Eung Jin Chun (KIAS), Fuminobu Takahashi (Tohoku U)
Cosmological Gravitational particle productions : Edward (Rocky) W. Kolb (FNAL and U. of Chicago)
On-shell tools for BSM physics : Yael Shadmi (Technion)
(3) Seminar/Colloquium Speakers
1st week: Tilman Plehn (Heidelberg), Seth Lloyd (MIT) : Online
2nd week : Yannis K. Semertzidis (IBS-CAPP), Donghui Jeong (Penn State Univ & KIAS) : Offline
(4) Registration : 등록비 없음.
1주차와 2주차 등록을 각각 따로 받습니다.
강의는 오프라인으로 진행되며 세미나/콜로퀴엄은 온라인 또는 오프라인으로 진행합니다.
여름학교 참석은 오프라인을 기본으로 합니다.
등록마감일 :
현장 참가(Offline attendance) : 6월 27일(화) / June 27 (Tue)
(5) 간단한 조식 및 중식 제공
Organizing Committee:
Pyungwon Ko (KIAS) *
K.C. Kong (University of Kansas)
Seung J. Lee (Korea University)
Minho Son (KAIST)
Myeonghun Park (Seoultech) *
* : Co-chair
* 문의사항 : 고등과학원 정지은 (jejeng@kias.re.kr)