RQC Seminar

156th RQC Seminar

  • Speaker

    Prof. Dario Poletti
    ( Centre for Quantum Technologies,and Mathematics and Technology, Singapore University of Technology and Design )

  • Date

    16:00-17:00, September 25, 2024 (Wednesday)

  • Venue

    Onsite( Wako Main Research 3F 345-347 Seminar Room/ 研究本館3階 セミナー室(345-347) C01）

  • Title

    Tensor networks for machine learning and neural network quantum states

  • Inquiries

    rqc_info[at]ml.riken.jp

Abstract
In this talk we will discuss an interesting exchange of how tools from many-body quantum physics can support classical machine learning, and how machine learning tools can be used many-body quantum physics. In particular we will show how matrix product operators can be used for sequence-to-sequence learning with applications from cellular automata to process tomography, and we will also show how neural networks can be used to represent the time evolution of many-body quantum systems.



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