V: Machine Learning for Quantum Matter

Presentations

• Applying the Variational Principle to Quantum Field Theory with Neural-Networks

  ORAL

  March 20, 2023, 3:30 PM – March 20, 2023, 3:42 PM

  Presenters

  • John M Martyn

    Massachusetts Institute of Technology

  Authors

  • John M Martyn

    Massachusetts Institute of Technology

  • Di Luo

    Massachusetts Institute of Technology

  • Khadijeh Najafi

    IBM

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• Learning Gradient Boosting Ground States for Quantum Many-Body Systems

  ORAL

  March 20, 2023, 3:42 PM – March 20, 2023, 3:54 PM

  Presenters

  • Vladimir Vargas-Calderón

    Zapata Computing Inc

  Authors

  • Vladimir Vargas-Calderón

    Zapata Computing Inc

  • Johan Ríos

    Universidad Nacional de Colombia

  • Herbert Vinck-Posada

    Universidad Nacional de Colombia

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• Probing interacting topological matter with neural-network quantum states

  ORAL

  March 20, 2023, 3:54 PM – March 20, 2023, 4:06 PM

  Presenters

  • Fan Yang

    EPFL

  Authors

  • Fan Yang

    EPFL

  • Dian Wu

    École polytechnique fédérale de Lausanne

  • Giuseppe Carleo

    École polytechnique fédérale de Lausanne, EPFL

  View abstract →