AI and Quantum Information for Particle Physics
from
Tuesday, 14 November 2023 (09:00)
to
Friday, 17 November 2023 (21:50)
Monday, 13 November 2023
Tuesday, 14 November 2023
10:00
10:00 - 12:30
Contributions
10:00
Welcome
-
Minho SON
(
KAIST
)
10:10
Entanglement Theory
-
Joonwoo Bae
(
KAIST
)
11:30
Quantum Position Verification and Time-Constrained Nonlocal Computation
-
Eric Chitambar
(
UIUC
)
12:30
Lunch
Lunch
12:30 - 14:00
14:00
14:00 - 17:30
Contributions
14:00
Theory-driven Quantum Machine Learning for HEP
-
Jack Y. Araz
(
Jefferson Lab.
)
15:30
Digitizaiton and Propagation in quantum computing for lattice gauge theories
-
Ying-Ying Li
(
University of Science and Technology of China
)
Wednesday, 15 November 2023
10:00
10:00 - 12:30
Contributions
10:00
Combinatorial optimization using QC for collider physics
-
Myeonghun Park
(
Seoul National University of Science and Technology
)
11:30
Expressing non-Abelian gauge-field dynamics in the quantum age
-
Jesse R. Stryker
(
LBNL, Berkeley
)
12:30
Lunch
Lunch
12:30 - 14:00
14:00
14:00 - 16:30
Contributions
14:00
Constructing Novel Nonparametric Estimators for f-divergences and Its Applications to High-energy Physics
-
Yung-Kyun Noh
(
Hanyang University
)
15:30
Scalar and Grassmann Neural Network Field Theories
-
Anindita Maiti
(
Perimeter Institute
)
18:30
Workshop dinner
Workshop dinner
18:30 - 21:00
Thursday, 16 November 2023
10:00
10:00 - 12:30
Contributions
10:00
Towards Building Large HEP Models with Self-Supervised Learning
-
Michael A. Kagan
(
SLAC
)
11:30
The Vision of End-to-End ML models in HEP
-
Lukas Heinrich
(
echnical University Munich
)
12:30
Lunch
Lunch
12:30 - 14:00
14:00
14:00 - 15:00
Contributions
14:00
Why autoencoders fail at anomaly detection and what we can do about it
-
Sangwoong Yoon
(
KIAS-AI
)
15:00
15:00 - 17:30
Contributions
15:00
Quantum computing for high-energy physics
-
Michael Spannowsky
(
University of Durham
)
Friday, 17 November 2023
10:00
10:00 - 11:50
Contributions
10:00
Mixture Density Network for Neutrino Reconstruction in Collider Physics
-
SeungJin Yang
(
Kyung Hee University
)
10:40
Exploring local and global feature integration in Multi-Model Deep Neural Networks
-
Kayoung Ban
(
Yonsei University
)
11:50
11:50 - 12:30
Contributions
11:50
Quantum Amplitude Amplification Operators: Quantum Search in the NISQ era
-
Hyeokjea Kwon
(
KAIST
)
12:30
12:30 - 14:00
14:00
14:00 - 16:30
Contributions
14:00
TBA
-
Minho SON
(
Korea Advanced Institute of Science and Technology
)
15:30
Summary and Future prospective
-
Minho SON
(
Korea Advanced Institute of Science and Technology
)
Myeonghun Park
(
Seoul National University of Science and Technology
)
16:30
Break
Break
16:30 - 17:00
17:00
17:00 - 18:00