Machine Learning Topological Phases with a Solid-State Quantum Simulator

ORAL

Abstract

We report an experimental demonstration of a machine learning approach to identify exotic topological phases, with a focus on the three-dimensional chiral topological insulators. We show that the convolutional neural networks—a class of deep feed-forward artificial neural networks with widespread applications in machine learning—can be trained to successfully identify different topological phases protected by chiral symmetry from experimental raw data generated with a solid-state quantum simulator. Our results explicitly showcase the exceptional power of machine learning in the experimental detection of topological phases, which paves a way to study rich topological phenomena with the machine learning toolbox.

*This work was supported by the National key Research and Development Program of China (Grant No. 2016YFA0301902), Tsinghua University, and the Ministry of Education of China.

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Presenters

  • Wenqian Lian

    • Center for Quantum Information, IIIS, Tsinghua University

Authors

  • Wenqian Lian

    • Center for Quantum Information, IIIS, Tsinghua University

  • Shengtao Wang

    • Department of Physics, Harvard University

  • Sirui Lu

    • Center for Quantum Information, IIIS, Tsinghua University

  • Wengang Zhang

    • Tsinghua University
    • Center for Quantum Information, IIIS, Tsinghua University, Beijing 100084, P. R. China
    • Center for Quantum Information, IIIS, Tsinghua University

  • Xiaolong Ouyang

    • Center for Quantum Information, IIIS, Tsinghua University, Beijing 100084, P. R. China
    • Center for Quantum Information, IIIS, Tsinghua University

  • Xin Wang

    • Center for Quantum Information, IIIS, Tsinghua University, Beijing 100084, P. R. China
    • Center for Quantum Information, IIIS, Tsinghua University

  • Xianzhi Huang

    • Tsinghua University
    • Center for Quantum Information, IIIS, Tsinghua University, Beijing 100084, P. R. China
    • Center for Quantum Information, IIIS, Tsinghua University

  • Dong-Ling Deng

    • Center for Quantum Information, IIIS, Tsinghua University

  • Luming Duan

    • Center for Quantum Information , IIIS, Tsinghua University
    • Tsinghua University
    • Institute for Interdisciplinary Information Sciences, Tsinghua University
    • Center for Quantum Information, IIIS, Tsinghua University, Beijing 100084, P. R. China
    • Center for Quantum Information, IIIS, Tsinghua University
    • Center for Quantum Information, Tsinghua University