Machine Learning for Quantum Matter III

Presentations

• Simulating non-equilibrium quantum matter with neural quantum states

  ORAL · Invited

  March 8, 2023, 11:00 AM – March 8, 2023, 11:36 AM

  Publication: M. Schmitt and M. Heyl, "Quantum many-body dynamics in two dimensions with artificial neural networks", Phys. Rev. Lett. 125, 100503 (2020)
  M. Reh, M. Schmitt, M. Gärttner, "Time-dependent variational principle for open quantum systems with artificial neural networks", Phys. Rev. Lett. 127, 230501 (2021)
  M. Schmitt, M. M. Rams, J. Dziarmaga, M. Heyl, W. H. Zurek, "Quantum phase transition dynamics in the two-dimensional transverse-field Ising model", Sci. Adv. 8, abl6850 (2022)

  Presenters

  • Markus Schmitt

    FZ Jülich

  Authors

  • Markus Schmitt

    FZ Jülich

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• Recurrent Neural Network approximations of thermal states through Rényi ensembles

  ORAL

  March 8, 2023, 11:36 AM – March 8, 2023, 11:48 AM

  Presenters

  • Andrew Jreissaty

    University of Waterloo

  Authors

  • Andrew Jreissaty

    University of Waterloo

  • Juan Carrasquilla

    Vector Institute

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• Quantum-Inspired Tempering for Ground State Approximation using Artificial Neural Networks

  ORAL

  March 8, 2023, 11:48 AM – March 8, 2023, 12:00 PM

  Presenters

  • Conor Smith

    University of New Mexico

  Authors

  • Conor Smith

    University of New Mexico

  • Tameem Albash

    University of New Mexico

  • Quinn Campbell

    Sandia National Laboratories

  • Andrew D Baczewski

    Sandia National Labs, Sandia National Laboratories

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• Bounding errors in Neural Quantum Dynamics

  ORAL

  March 8, 2023, 12:00 PM – March 8, 2023, 12:12 PM

  Presenters

  • Filippo Vicentini

    Ecole Polytechnique Federale de Lausanne

  Authors

  • Filippo Vicentini

    Ecole Polytechnique Federale de Lausanne

  • Giuseppe Carleo

    École polytechnique fédérale de Lausanne, EPFL

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• Efficient Study of Finite Temperature Dynamics using Isometrically Compressed Purification MPS

  ORAL

  March 8, 2023, 12:12 PM – March 8, 2023, 12:24 PM

  Publication: Anand, Zaletel, Hauschild; In preparation (2023)

  Presenters

  • Sajant Anand

    University of California, Berkeley

  Authors

  • Sajant Anand

    University of California, Berkeley

  • Michael P Zaletel

    University of California, Berkeley, UC Berkeley

  • Johannes Hauschild

    University of California, Berkeley

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• Gradient-Based Algorithms for Infinite Strip Tensor Network States

  ORAL

  March 8, 2023, 12:24 PM – March 8, 2023, 12:36 PM

  Publication: Lin, Anand, Wu, Zaletel, Pollmann, Vanderstraeten; In Preparation (2022)

  Presenters

  • Sheng-Hsuan Lin

    TU Munich, TUM

  Authors

  • Sajant Anand

    University of California, Berkeley

  • Sheng-Hsuan Lin

    TU Munich, TUM

  • Yantao Wu

    University of California, Berkeley

  • Michael P Zaletel

    University of California, Berkeley, UC Berkeley

  • Frank Pollmann

    TU Munich

  • Laurens Vanderstraeten

    University of Ghent

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• Transformer Quantum State: A Multi-Purpose Model for Quantum Many-Body Problems

  ORAL

  March 8, 2023, 12:36 PM – March 8, 2023, 12:48 PM

  Publication: Zhang, Y.H. and Di Ventra, M., 2022. Transformer Quantum State: A Multi-Purpose Model for Quantum Many-Body Problems. arXiv preprint arXiv:2208.01758.

  Presenters

  • Yuan-Hang Zhang

    University of California, San Diego

  Authors

  • Yuan-Hang Zhang

    University of California, San Diego

  • Massimiliano Di Ventra

    University of California, San Diego

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

  ORAL

  March 8, 2023, 12:48 PM – March 8, 2023, 1:00 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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• Simulating 2+1D Quantum Electrodynamics at Finite Density with Neural Flow Wavefunctions

  ORAL

  March 8, 2023, 1:00 PM – March 8, 2023, 1:12 PM

  Publication: In preparation.

  Presenters

  • Zhuo Chen

    Massachusetts Institute of Technology

  Authors

  • Zhuo Chen

    Massachusetts Institute of Technology

  • Di Luo

    Massachusetts Institute of Technology

  • Kaiwen Hu

    University of Michigan--Ann Arbor

  • Bryan K Clark

    University of Illinois at Urbana-Champaign

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• Neutron matter Variational Monte Carlo calculations with artificial neural network wave functions

  ORAL

  March 8, 2023, 1:12 PM – March 8, 2023, 1:24 PM

  Publication: Neutron matter Variational Monte Carlo calculations with artificial neural network wave functions - planned paper

  Presenters

  • Bryce Fore

    Argonne National Laboratory

  Authors

  • Bryce Fore

    Argonne National Laboratory

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• Efficient and scalable modeling of strongly correlated electronic systems with NQS in continuous space

  ORAL

  March 8, 2023, 1:24 PM – March 8, 2023, 1:36 PM

  Publication: Planned paper with same title.

  Presenters

  • Gabriel M Pescia

    Ecole Polytechnique Federale de Lausanne

  Authors

  • Gabriel M Pescia

    Ecole Polytechnique Federale de Lausanne

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