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DQI Thesis Award Session

INVITED · MAR-C14 · ID: 3258890

Presentations

  • DQI Thesis Award Session: Learning in the Quantum Universe

    ORAL · Invited

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    Publication: Hsin-Yuan Huang, Richard Kueng, John Preskill. Predicting many properties of a quantum system from very few measurements. Nature Physics 16, 1050–1057 (2020).<br><br>Hsin-Yuan Huang, Richard Kueng, John Preskill. Information-Theoretic Bounds on Quantum Advantage in Machine Learning. Physical Review Letters 16, 1050–1057 (2020).<br><br>Hsin-Yuan Huang et al. Power of data in quantum machine learning. Nature Communication 12, 2631 (2021).<br><br>Hsin-Yuan Huang et al. Provably efficient machine learning for quantum many-body problems. Science 377, eabk3333 (2022).<br><br>Hsin-Yuan Huang et al. Quantum advantage in learning from experiments. Science 376,1182-1186 (2022).<br><br>Laura Lewis, Hsin-Yuan Huang, Viet T. Tran et al. Improved machine learning algorithm for predicting ground state properties. Nature Communication 15, 895 (2024).

    Presenters

    • Hsin-Yuan Huang

      Caltech, Google, Caltech

    Authors

    • Hsin-Yuan Huang

      Caltech, Google, Caltech

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