Machine Learning for Quantum Matter III

Presentations

• Simulating non-equilibrium quantum matter with neural quantum states

  ORAL · Invited

  March 8, 2023, 8:00 AM – March 8, 2023, 8:36 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, 8:36 AM – March 8, 2023, 8:48 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, 8:48 AM – March 8, 2023, 9:00 AM

  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, 9:00 AM – March 8, 2023, 9:12 AM

  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, 9:12 AM – March 8, 2023, 9:24 AM

  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, 9:24 AM – March 8, 2023, 9:36 AM

  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, 9:36 AM – March 8, 2023, 9:48 AM

  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, 9:48 AM – March 8, 2023, 10:00 AM

  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, 10:00 AM – March 8, 2023, 10:12 AM

  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, 10:12 AM – March 8, 2023, 10:24 AM

  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, 10:24 AM – March 8, 2023, 10:36 AM

  Publication: Planned paper with same title.

  Presenters

  • Gabriel M Pescia

    • Ecole Polytechnique Federale de Lausanne

  Authors

  • Gabriel M Pescia

    • Ecole Polytechnique Federale de Lausanne

  View abstract →