RQC Seminar

154th RQC Seminar

  • Speaker

    Dr. Lirandë Pira
    ( Centre for Quantum Technologies, the National University of Singapore )

  • Date

    16:00-17:00, September 17, 2024 (Tuesday)

  • Venue

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

  • Title

    On the Interpretability of Quantum Neural Networks

  • Inquiries

    rqc_info[at]ml.riken.jp

Abstract
Interpretability of artificial intelligence (AI) methods, particularly deep neural networks, is of great interest. Here, we explore the interpretability of quantum neural networks using local model-agnostic interpretability measures commonly utilized for classical neural networks. Following this analysis, we generalize a classical technique called LIME, introducing Q-LIME, which produces explanations of quantum neural networks. A feature of our explanations is the delineation of the region in which data samples have been given a random label, likely subjects of inherently random quantum measurements. We view this as a step toward understanding how to build responsible and accountable quantum AI models.



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