This year’s QUC School on A.I. in High Energy Physics will cover the recent developments in scattering amplitudes, effective field theories in various contexts, machine learning, and quantum computing and their applications in HEP.

The main themes of the school are the following:

     - Amplitude methods and applications to HEP

     - EFT (SMEFT, HEFT, EFT for inflation)

     - Machine Learning

     - Introduction to Quantum Computing

Date : July 4-15, 2022

Venue : Rm 1503, Building #1, KIAS

Deadline for registration :

     - Offline attendance: June 25 (Sat)

     - Online attendance: June 29 (Wed)

(1) Lecturers on Amplitude Methods and EFT: 

     Higgs Effective Field Theory: Rodrigo Alonso (IPPP, Durham), online

     EFT in Inflation: Cliff Burgess (McMaster and Perimeter), online 

     EFT, S-matrix, etc.: Clifford Cheung (Cal Tech), online

     Scattering amplitude: Yu-tin Huang (National Taiwan University), online

     Amplitudes for EFT: Alex Pomarol (Barcelona and CERN, KIAS), online

     SMEFT: Michael Trott (Niels Bohr Institute), offline

(2) Lecturers on Machine Learning and Quantum Computing:

     Machine Learning: David Shih (Rutgers University), offline 

     Machine Learning: Gregor Kasieczka (Univ. of Hamburg), offline

     Introduction to Quantum Computing: Isaac Kim (UC Davis), online

(3) Seminar/Colloquium Speakers (online): 

     Kyle Cranmer* (NYU)

     Jesse Thaler (MIT)

     Max Tegmark (MIT)

     Ben Nachman (LBNL, UC Berkeley) 

     And more

 *: to be confirmed

(4) Registration : 등록비 없음.

     강의는 온라인/오프라인 병행으로 진행이 됩니다.

     여름학교 참석은 오프라인을 기본으로 하며 현재 Covid-19 관련 규정상 약 50명의 학생이 현장강의 참석 가능합니다.

     (부득이 하게 온라인 참석을 원하시는 분은 개별적으로 연락 하시면 온라인 참여도 가능합니다.)

(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, KIAS) *

* : Co-chair

문의사항: 고등과학원 주미연 (dearmee@kias.re.kr, 02-958-3760)