AI and Quantum Information for Particle Physics

Session

Quantum Computing

14 Nov 2023, 14:00

Conveners

Quantum Computing

• Jesse Stryker (Lawrence Berkeley National Laboratory)

Quantum Computing

• Yingying Li (USTC)

Quantum Computing

• Jack Y. Araz (Jefferson Lab.)

Quantum Computing

• Myeonghun Park (Seoul National University of Science and Technology)

11. Theory-driven Quantum Machine Learning for HEP

Dr Jack Y. Araz (Jefferson Lab.)

14/11/2023, 14:00

Machine Learning is, in most cases, powerful but a black-box application. In this talk, we will tackle this very problem from a quantum mechanics point of view, arguing that an optimisation problem, such as classification or anomaly detection, can be studied by “rephrasing" the problem as a quantum many-body system or a mixed state. Such an approach allows us to employ the entire arsenal of...

12. Digitizaiton and Propagation in quantum computing for lattice gauge theories

Dr Ying-Ying Li (University of Science and Technology of China)

14/11/2023, 15:30

29. Combinatorial optimization using QC for collider physics

Myeonghun Park (Seoul National University of Science and Technology)

15/11/2023, 10:00

6. Expressing non-Abelian gauge-field dynamics in the quantum age

Dr Jesse R. Stryker (LBNL, Berkeley)

15/11/2023, 11:30

5. Quantum computing for high-energy physics

Dr Michael Spannowsky (University of Durham)

16/11/2023, 15:00

28. Quantum Amplitude Amplification Operators: Quantum Search in the NISQ era

Hyeokjea Kwon (KAIST)

17/11/2023, 11:50

17. TBA

Dr Lee Jong-Wan (IBS-CTPU)

18. TBA

Myeonghun Park (Seoul National University of Science and Technology)

19. TBA

20. TBA

Sangwoon Yoon (KIAS AI)

21. TBA

Dr Myeonghun Park (Seoul National University of Science and Technology)