AI and Quantum Information for Particle Physics

Asia/Seoul
Yang Seungtaik Auditorium (E9 building), KAIST (Nov 14 - Nov 16) Room #304, IBS Science Culture Center (Nov 17)
Minho SON (Korea Advanced Institute of Science and Technology), Myeonghun Park (Seoul National University of Science and Technology)
Description

Particle physics data is unique and challenging due to its tremendous size and complicated structure stemming from its quantum nature. Rapidly improving quantum-computing technologies could be applied within the particle physics in order to help tackling such computing challenges. The goal of the workshop is to discuss the latest developments in the field of machine learning, quantum computation, and their application in high energy physics, and to brainstorm possible collaborative projects. We hope to bring together experts to better understand this intersection and reach the full potential of quantum computing and machine learning.

Participants
  • Anindita Maiti
  • Chang Sub SHIN
  • Eric Chitambar
  • Heejoo Kim
  • Heejoung Hong
  • Jack Araz
  • Jesse Stryker
  • Jihun Kim
  • JINHEUNG KIM
  • Jong-Wan Lee
  • Joonwoo Bae
  • Junghyeon Park
  • Kayoung Ban
  • Kihyeon Cho
  • Michael Kagan
  • Michael Spannowsky
  • Minho SON
  • Myeonghun Park
  • Nadège Iovine
  • Sangwoong Yoon
  • Seungjin Yang
  • SooJin Lee
  • Sungbeom ­Cho
  • Sungjung Kim
  • Tae-Geun Kim
  • Won Sang Cho
  • Yeji Park
  • Yeonsu Ryou
  • Yingying Li
  • Yung-Kyun Noh
  • +3
    • 10:00 12:30
      Quantum Information
      Conveners: Myeonghun Park (Seoul National University of Science and Technology), Joonwoo Bae (KAIST)
      • 10:00
        Welcome 10m
        Speaker: Minho SON (KAIST)
      • 10:10
        Entanglement Theory 1h

        Entanglement, that is, quantum correlations that do not have a classical counterpart, is a resource for quantum information processing. I provide an overview on the entanglement theory by focusing on the structure of entangled states. I also discuss the experimental verification of entangled states given assumptions made on sources and measurements.

        Speaker: Dr Joonwoo Bae (KAIST)
      • 11:10
        Coffee & Discussion 20m
      • 11:30
        Quantum Position Verification and Time-Constrained Nonlocal Computation 1h

        Quantum position verification (QPV) is a cryptographic task in which the spatial location of an untrusted agent is certified using the principles of quantum mechanics and special relativity. The problem of QPV has deep connections to computational complexity and the AdS/CFT correspondence. In this talk I will introduce the general task of QPV and review some results. I will then turn to recent theoretical work analyzing the structure of QPV protocols in which the distribution of product states is used to certify a spatial location, and an honest prover must perform a joint measurement on the signals. This particular class of QPV protocols reveals separations in security based on whether the adversaries are restricted to classical versus quantum communication.

        Speaker: Dr Eric Chitambar (UIUC)
    • 12:30 14:00
      Lunch 1h 30m
    • 14:00 17:30
      Quantum Computing
      Convener: Dr Jesse Stryker (Lawrence Berkeley National Laboratory)
      • 14:00
        Theory-driven Quantum Machine Learning for HEP 1h

        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 quantum theory for data analysis techniques. Hence, this talk will present a small step towards fully theory-driven and interpretable quantum machine learning applications.

        Speaker: Dr Jack Y. Araz (Jefferson Lab.)
      • 15:00
        Coffee & Discussion 30m
      • 15:30
        Digitizaiton and Propagation in quantum computing for lattice gauge theories 1h
        Speaker: Dr Ying-Ying Li (University of Science and Technology of China)
    • 10:00 12:30
      Quantum Computing
      Convener: Prof. Yingying Li (USTC)
      • 10:00
        Combinatorial optimization using QC for collider physics 1h
        Speaker: Myeonghun Park (Seoul National University of Science and Technology)
      • 11:00
        Coffee & Discussion 30m
      • 11:30
        Expressing non-Abelian gauge-field dynamics in the quantum age 1h
        Speaker: Dr Jesse R. Stryker (LBNL, Berkeley)
    • 12:30 14:00
      Lunch 1h 30m
    • 14:00 16:30
      Machine Learning
      Convener: Lukas Heinrich (echnical University Munich)
      • 14:00
        Constructing Novel Nonparametric Estimators for f-divergences and Its Applications to High-energy Physics 1h

        Nonparametric methods, such as nearest neighbor and kernel methods, can offer simple and parallelizable algorithms without the need for manual structure tunning. However, these methods may suffer from severe performance degradation due to biases from the high-dimensionality of data. I will introduce recently derived equations for understanding and addressing the high-dimensional bias and present some principled algorithms. These algorithms can be used to estimate the f-divergences, which can be employed in objective functions to select important features or decorrelate information that should be irrelevant. Examples of the applications in high-energy physics and other fields will be provided.

        Speaker: Dr Yung-Kyun Noh (Hanyang University)
      • 15:00
        Coffee & Discussion 30m
      • 15:30
        Scalar and Grassmann Neural Network Field Theories 1h

        Neural Networks (NN), the backbones of Deep Learning, define field theories through output ensembles at initialization. Certain limits of NN architecture give rise to free field theories via Central Limit Theorem (CLT), whereas other regimes give rise to weakly coupled, and non-perturbative field theories, via small, and large deviations from CLT, respectively. I will present a systematic construction of free, weakly interacting, and non-perturbative field theories by tuning different attributes of NN architectures, bringing in methods from statistical physics, and a new set of Feynman rules. Some interacting field theories of our choice can be exactly engineered at initialization, by parametrically deforming distributions over stochastic variables in NN architectures. As an example, I will present the construction of $λφ^4$ scalar field theory via statistical independence breaking of NN parameters in the infinite width limit. Lastly, I will introduce free and interacting regimes in Grassmann field theories defined via initialized Grassmann NN architectures.

        Speaker: Dr Anindita Maiti (Perimeter Institute)
    • 18:30 21:00
      Workshop dinner 2h 30m
    • 10:00 12:30
      Machine Learning
      Convener: Anindita Maiti (Perimeter Institute)
      • 10:00
        Towards Building Large HEP Models with Self-Supervised Learning 1h
        Speaker: Dr Michael A. Kagan (SLAC)
      • 11:00
        Coffee & Discussion 30m
      • 11:30
        The Vision of End-to-End ML models in HEP 1h
        Speaker: Dr Lukas Heinrich (echnical University Munich)
    • 12:30 14:00
      Lunch 1h 30m
    • 14:00 15:00
      Machine Learning
      Convener: Michael A. Kagan (SLAC)
    • 15:00 17:30
      Quantum Computing
      Convener: Jack Y. Araz (Jefferson Lab.)
      • 15:00
        Quantum computing for high-energy physics 1h
        Speaker: Dr Michael Spannowsky (University of Durham)
      • 16:00
        Coffee & Discussion 30m
    • 10:00 11:50
      Machine Learning
      Convener: Minho SON (Korea Advanced Institute of Science and Technology)
      • 10:00
        Mixture Density Network for Neutrino Reconstruction in Collider Physics 40m
        Speaker: Dr SeungJin Yang (Kyung Hee University)
      • 10:40
        Exploring local and global feature integration in Multi-Model Deep Neural Networks 40m
        Speaker: Ms Kayoung Ban (Yonsei University)
      • 11:20
        Coffee & Discussion 30m
    • 11:50 12:30
      Quantum Computing
      Convener: Myeonghun Park (Seoul National University of Science and Technology)
      • 11:50
        Quantum Amplitude Amplification Operators: Quantum Search in the NISQ era 40m
        Speaker: Hyeokjea Kwon (KAIST)
    • 12:30 14:00
      Lunch
    • 14:00 16:30
      Future Prospective
      Conveners: Minho SON (Korea Advanced Institute of Science and Technology), Myeonghun Park (Seoul National University of Science and Technology)
      • 14:00
        TBA 1h
        Speaker: Minho SON (Korea Advanced Institute of Science and Technology)
      • 15:00
        Coffee and Discussion 30m
      • 15:30
        Summary and Future prospective 1h
        Speakers: Minho SON (Korea Advanced Institute of Science and Technology), Myeonghun Park (Seoul National University of Science and Technology)
    • 16:30 17:00
      Break 30m
    • 17:00 18:00
      Discussion and collaboration
      Conveners: Minho SON (Korea Advanced Institute of Science and Technology), Myeonghun Park (Seoul National University of Science and Technology)