RQC Colloquium

17th RQC Colloquium

  • 講演者

    村尾 美緒 教授
    (東京大学)

  • 日程

    2023年10月25日（水）16:00-17:00（JST）

  • 開催場所

    ハイブリッド（Zoom ・ 理研　和光地区 統合支援棟2階 大会議室 )

  • 講演タイトル

    Fully-quantum learning: Higher-order quantum algorithms for comparison and inversion of unknown unitary operations

  • お問合せ

    rqc_colloquium_inquiry[at]ml.riken.jp

講演概要
Quantum learning is learning properties of unknown quantum objects (states and operations) by connecting the objects to a quantum computer. Fully-quantum learning is directly calculating a specific property of a quantum object by a quantum computer without extracting unnecessary classical information about the quantum objects and formalized by a higher-order quantum transformation (a map of a map). We first present a higher-order quantum algorithm that optimally compares two unknown unitary operations with multiple calls of each unitary operation [1]. Then, we present another higher-order quantum algorithm to learn and apply the inverse of an unknown unitary operation with finite calls of the unitary operation [2].

[1] Y. Hashimoto, A. Soeda and M. Murao,arXiv:2208.12519
[2] S. Yoshida, A. Soeda and M. Murao, Phys. Rev. Lett. 131, 120602 (2023)  

Flyer: 17th RQC Colloquium Flyer

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