AI and Quantum Information Applications in Fundamental Physics

12 Feb 2023, 09:30 → 18 Feb 2023, 21:00 Asia/Seoul

Konjiam Resort

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. 

Invited Speakers

• 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.)

 

*: online

Important notices:

- 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.

Sunday 12 February

09:30 → 23:30 Arrival & Check in Arirang Hill Hotel Dongdaemun, Seoul (international participants)

Monday 13 February

09:30 → 12:15 Bus shuttle transfer from KIAS to workshop site (Konjiam Ski Resort)

12:15 → 14:00 Lunch

14:00 → 15:15 Talk & discussion: Session 1 (chair: Claudius Krause)

14:00 No classification without representation -- Efficient data representations & other challenges for anomaly detection, generative models, and supervised classification

Speaker: Gregor Kasieczka

DeepLearning_Korea_KIAS_2023.pdf

15:15 → 15:45 Coffee

15:45 → 18:00 Talk & discussion: Session 2 (chair: Claudius Krause)

15:45 Kinematic Variables and Feature Engineering for Particle Phenomenology

Speaker: KC Kong (University of Kansas)

KC.Kong.pdf

17:00 DeeLeMa: Missing information search with Deep Learning for Mass estimation

Speaker: Kayoung Ban

DeeLeMa_AIQKias.pdf

17:30 A review of machine learning applications of jet tagging

Speaker: Daohan Wang

Jet_Tagging AI_workshop.pdf

18:00 → 20:00 Dinner

Tuesday 14 February

09:30 → 10:45 Talk & discussion: Session 3 (chair: Gregor Kasieczka)

09:30 Normalizing flow for data-driven background estimations and other uses

Speaker: Suyong Choi

Normalizing flow for Background estimation.pdf

10:45 → 11:00 Coffee

11:00 → 12:15 Talk & discussion: Session 4 (chair: Gregor Kasieczka)

11:00 Fast and Faithful Calorimeter Simulations with Normalizing Flows

Speaker: Claudius Krause

C.Krause.Flows4Sim_v2.pdf

12:15 → 14:00 Lunch

14:00 → 18:30 Free discussion

Conveners: KC Kong (University of Kansas), Myeonghun Park (Seoultech)

18:30 → 20:00 Dinner

20:00 → 21:30 Open discussion: Open discussion ML

Conveners: David Shih, Gregor Kasieczka

ML discussion

QC discussion

Wednesday 15 February

09:30 → 10:45 Talk & discussion: Session 5 (chair: Suyong Choi)

09:30 Uncertainties in the era of ML

Speaker: Aishik Ghosh

KIAS_15Feb2023.pdf

10:45 → 11:00 Coffee

11:00 → 12:15 Talk & discussion: Session 6 (chair: Suyong Choi)

11:00 Novel applications of normalizing flows from LHC to Astrophysics

Speaker: David Shih

KIAS workshop Feb 2023 public.pdf

12:15 → 14:00 Lunch

14:00 → 15:15 Talk & discussion: Session 7 (chair: Aishik Ghosh)

14:00 Constructing novel nonparametric estimators for information-theoretic measure estimation.

Speaker: Yung-Kyun Noh

2023_AI_Quantum_information_applications_in_fundamental_physics_Noh.pdf

15:15 → 15:45 Coffee

15:45 → 17:30 Talk & discussion: Session 8 (chair: Aishik Ghosh)

15:45 Self-supervision in particle physics [remote talk]

Speaker: Barry Dillon

kias-talk-2023.pdf

17:00 Complicated parameter spaces and machine learnnig

Speaker: Raymundo Ramos

Ramos-AIQItalk230215.pdf

17:30 → 18:30 Free discussion

Conveners: KC Kong (University of Kansas), Myeonghun Park (Seoultech)

18:30 → 20:00 Dinner

Thursday 16 February

09:30 → 10:45 Talk & discussion: Session 9 (chair: Marat Freytsis)

09:30 Quantum Machine Learning Applications for Data Analysis in High Energy Physics [remote talk]

Speaker: Andrea Delgado

KIAS-QML4HEP-Delgado.pdf

10:45 → 11:00 Coffee

11:00 → 12:15 Talk & discussion: Session 10 (chair: Marat Freytsis)

11:00 Theory-driven quantum machine learning for HEP

Speaker: Jack Araz

jackaraz_kias.pdf

12:15 → 14:00 Lunch

14:00 → 18:30 Free discussion

Conveners: KC Kong (University of Kansas), Myeonghun Park (Seoultech)

18:30 → 20:00 Dinner

20:00 → 21:30 Open discussion: QC Open discussion

Conveners: Jack Araz, Marat Freytsis

ML discussion

QC discussion

Friday 17 February

09:30 → 10:45 Talk & discussion: Session 11 (chair: Jack Araz)

09:30 Quantum Machine Learning: Opportunities and Challenges (Part I)

Speaker: Daniel Park

talk.pdf

10:45 → 11:00 Coffee

11:00 → 12:15 Talk & discussion: Session 12 (chair: Jack Araz)

11:00 Quantum Machine Learning: Opportunities and Challenges (Part II)

Speaker: Daniel Park

talk.pdf

12:15 → 14:00 Lunch

14:00 → 15:15 Talk & discussion: Session 13 (chair: Seong Chan Park)

14:00 Effective uses of quantum simulation for particle physics

Speaker: Marat Freytsis

Effective uses of QC for HEP (KIAS, 2-23).pdf

15:15 → 15:45 Coffee

15:45 → 18:00 Talk & discussion: Session 14 (chair: Seong Chan Park)

15:45 Quantum metric learning for image analysis

Speaker: Ahmed Hammad

Quantum_metric_learning_KIAS.pdf

16:15 Variational quantum algorithms

Speaker: Eunok Bae

배은옥_230217_곤지암.pdf

16:45 Bubble nucleation as a QUBO problem

Speaker: Jae-hyeon Park (Korea Institute for Advanced Study)

17:15 Combinatorial optimization with Quantum machine

Speaker: Myeonghun Park (Seoultech)

PARK.pdf

18:00 → 21:30 Banquet

Saturday 18 February

09:30 → 12:30 Bus shuttle transfer to KIAS