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AI and Quantum Information for Particle Physics

14–17 Nov 2023
Asia/Seoul timezone

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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)

Presentation materials

There are no materials yet.

  1. 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...

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  2. 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
  3. 29. Combinatorial optimization using QC for collider physics
    Myeonghun Park (Seoul National University of Science and Technology)
    15/11/2023, 10:00
  4. 6. Expressing non-Abelian gauge-field dynamics in the quantum age
    Dr Jesse R. Stryker (LBNL, Berkeley)
    15/11/2023, 11:30
  5. 5. Quantum computing for high-energy physics
    Dr Michael Spannowsky (University of Durham)
    16/11/2023, 15:00
  6. 28. Quantum Amplitude Amplification Operators: Quantum Search in the NISQ era
    Hyeokjea Kwon (KAIST)
    17/11/2023, 11:50
  7. 17. TBA
    Dr Lee Jong-Wan (IBS-CTPU)
  8. 18. TBA
    Myeonghun Park (Seoul National University of Science and Technology)
  9. 19. TBA
  10. 20. TBA
    Sangwoon Yoon (KIAS AI)
  11. 21. TBA
    Dr Myeonghun Park (Seoul National University of Science and Technology)
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