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)<br>M. Reh, M. Schmitt, M. Gärttner, "Time-dependent variational principle for open quantum systems with artificial neural networks", Phys. Rev. Lett. 127, 230501 (2021)<br>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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