156th RQC Seminar

  • 講演者

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

  • 日程

    2024年9月25日（水） 16:00-17:00

  • 開催場所

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

  • 講演タイトル

    Tensor networks for machine learning and neural network quantum states

  • お問合せ

    rqc_info[at]ml.riken.jp

講演概要
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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