PARTIQAL 2026 brings together researchers working at the intersection of particle physics, quantum information science, and machine learning.
The goal is to explore how emerging quantum technologies and AI methods can advance both theoretical and experimental high-energy physics.
The workshop will focus on the following topics:
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Recent developments in Machine Learning
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Quantum algorithms and Quantum Computation
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Quantum machine learning
- Quantum Information, especially Quantum observables.
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Quantum sensing and quantum-enhanced measurements
The workshop will be organized in two parts: the first focusing on machine learning and quantum machine learning for particle physics, and the second exploring quantum observables and quantum sensing as emerging tools for fundamental physics.
Invited speakers:
- Jack Y. Araz (City St. George’s, University of London)
- Joonwoo Bae (KAIST)
- Jeongho Bang (Yonsei U.)
- Jae Hyeok Chang (SNU)
- Hajime Fukuda (U. Tokyo)
- Dongwook Ghim (IBS)
- Aishik Ghosh (Georgia Tech)
- Dorival Gonçalves (Oklahoma U.)
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Ahmed Hammad (KIAS AI)
- Tae-Geun Kim (RIKEN and Fudan U.)
- Yeoneung Kim (SeoulTech)
- Changhyoup Lee (Hanyang U.)
- Paul Junghyun Lee (KIST)
- Ying-Ying Li (IHEP)
- Yung-Kyun Noh (Hanyang U.)
- Bin Xu (KIAS)
- Shinjae Yoo (BNL) : ONLINE
- Sangwoong Yoon (UNIST)
- Sungwoo Youn (IBS DMAG)
- Kwangmin Yu (BNL)
Organizers:
KC Kong (University of Kansas)
Myeonghun Park (SeoulTech)
This workshop is supported by SeoulTech and APCTP. The venue is hosted by IBS.
The APCTP is supported by the Korean Government through the Science and Technology Promotion Fund and Lottery Fund and strives to maximize public value through its various activities.