RQC Colloquium

20th RQC Colloquium

  • Speaker

    Prof. Seth Lloyd
    (Massachusetts Institute of Technology )

  • Date

    16:00-17:00 (JST), January 31, 2024 (Wednesday)

  • Venue

    Hybrid(Zoom・Wako Welfare and Conference Building 2F Large Meeting Room)

  • Title

    Quantum Machine Learning

  • Inquiries

    rqc_colloquium_inquiry[at]ml.riken.jp

Abstract
Quantum systems can generate patterns in data that classical systems cannot. Can quantum computers also recognize and classify patterns in data that classical computers cannot? This talk shows that the answer to this question is Yes. The talk provides a review of quantum machine learning methods, including quantum generative adversarial networks, quantum neural networks, and quantum algorithms for topological data analysis. We look at novel methods for quantum machine learning and identify cases where quantum computers have a provable advantage over classical machine learning methods for data analysis.
Flyer: 20th RQC Colloquium Flyer

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