Machine Learning for Quantum Matter I

Presentations

• Recurrent neural networks for many-body physics

  ORAL · Invited

  March 6, 2023, 3:00 PM – March 6, 2023, 3:36 PM

  Publication: -Recurrent neural network wave functions. M Hibat-Allah, M Ganahl, LE Hayward, RG Melko, J Carrasquilla. Physical Review Research 2 (2), 023358 (2020)
  -Reconstructing quantum states with generative models. J Carrasquilla, G Torlai, RG Melko, L Aolita. Nature Machine Intelligence 1 (3), 155-161 (2019)
  -Variational neural annealing. M Hibat-Allah, EM Inack, R Wiersema, RG Melko, J Carrasquilla. Nature Machine Intelligence 3 (11), 952-961 (2021)
  -Autoregressive neural network for simulating open quantum systems via a probabilistic formulation
  D Luo, Z Chen, J Carrasquilla, BK Clark. Physical review letters 128 (9), 090501 (2022)

  Presenters

  • Juan Carrasquilla

    • Vector Institute for Artificial Intelligence

  Authors

  • Juan Carrasquilla

    • Vector Institute for Artificial Intelligence

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• Self-Averaging of Digital MemComputing Machines

  ORAL

  March 6, 2023, 3:36 PM – March 6, 2023, 3:48 PM

  Presenters

  • Daniel Primosch

    • UC San Diego

  Authors

  • Daniel Primosch

    • UC San Diego

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• A deep learning approach to quantum many-body physics with space group symmetries

  ORAL

  March 6, 2023, 3:48 PM – March 6, 2023, 4:00 PM

  Presenters

  • Tianshu Huang

    • Yale University

  Authors

  • Tianshu Huang

    • Yale University

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• Solving quantum many-body problems by combining artificial neural network with variational Monte Carlo

  ORAL

  March 6, 2023, 4:00 PM – March 6, 2023, 4:12 PM

  Presenters

  • Xiaowei Ou

    • Yale University

  Authors

  • Xiaowei Ou

    • Yale University

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• Towards Neural Variational Monte Carlo That Scales Linearly with System Size

  ORAL

  March 6, 2023, 4:12 PM – March 6, 2023, 4:24 PM

  Publication: Towards Neural Variational Monte Carlo That Scales Linearly with System Size. Or Sharir, Garnet Chan, Anima Anandkumar. Under review.

  Presenters

  • Or Sharir

    • Caltech

  Authors

  • Or Sharir

    • Caltech

  • Garnet K Chan

    • Caltech

  • Anima Anandkumar

    • Caltech
    • CalTech, NVIDIA

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• Systematic improvement of neural network quantum states using Lanczos

  ORAL

  March 6, 2023, 4:24 PM – March 6, 2023, 4:36 PM

  Publication: https://arxiv.org/abs/2206.14307

  Presenters

  • Hongwei Chen

    • Northeastern University

  Authors

  • Hongwei Chen

    • Northeastern University

  • Douglas G Hendry

    • Northeastern University

  • Phillip E Weinberg

    • Northeastern University

  • Adrian E Feiguin

    • Northeastern University

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• Progress on the simulation of ab-initio Hamiltonians using neural network quantum states

  ORAL

  March 6, 2023, 4:36 PM – March 6, 2023, 4:48 PM

  Presenters

  • Javier Robledo Moreno

    • Flatiron Institute and New York University
    • New York University (NYU)

  Authors

  • Javier Robledo Moreno

    • Flatiron Institute and New York University
    • New York University (NYU)

  • jeffrey cohn

    • IBM Research - Almaden

  • Mario Motta

    • IBM Research - Almaden
    • IBM Quantum, IBM Research Almaden

  • Jannes Nys

    • École Polytechnique Fédérale de Lausanne (EPFL)

  • Giuseppe Carleo

    • École polytechnique fédérale de Lausanne
    • EPFL

  • Antoine Georges

    • College de France

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• Fermionic isometric tensor network states in 2D

  ORAL

  March 6, 2023, 4:48 PM – March 6, 2023, 5:00 PM

  Presenters

  • Zhehao Dai

    • University of California, Berkeley

  Authors

  • Zhehao Dai

    • University of California, Berkeley

  • Yantao Wu

    • University of California, Berkeley

  • Taige Wang

    • University of California, Berkeley

  • Michael P Zaletel

    • University of California, Berkeley
    • UC Berkeley

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• Constructing realistic tight-binding models via differentiable programming

  ORAL

  March 6, 2023, 5:00 PM – March 6, 2023, 5:12 PM

  Presenters

  • Mengli Hu

    • HKUST

  Authors

  • Mengli Hu

    • HKUST

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• Autoregressive neural Slater-Jastrow ansatz for variational Monte Carlo simulation

  ORAL

  March 6, 2023, 5:12 PM – March 6, 2023, 5:24 PM

  Publication: https://arxiv.org/abs/2210.05871

  Presenters

  • Stephan Humeniuk

    • Rutgers University

  Authors

  • Stephan Humeniuk

    • Rutgers University

  • Yuan Wan

    • Institute of Physics

  • Lei Wang

    • Institute of Physics, Chinese Academy of Sciences

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• Unreasonable effectiveness of pairwise Markov random fields in finding ground states of stoquastic Hamiltonians

  ORAL

  March 6, 2023, 5:24 PM – March 6, 2023, 5:36 PM

  Presenters

  • Abhijith J.

    • Los Alamos National Laboratory

  Authors

  • Yuchen Pang

    • University of Illinois Urbana-Champaign

  • Abhijith J.

    • Los Alamos National Laboratory

  • Evan McKinney

    • University of Pittsburgh

  • Carleton Coffrin

    • Los Alamos National Laboratory
    • Los Alamos National Lab

  • Marc Vuffray

    • Los Alamos Natl Lab

  • Andrey Y Lokhov

    • Los Alamos National Laboratory

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• Spectral Gaps via Imaginary Time

  ORAL

  March 6, 2023, 5:36 PM – March 6, 2023, 5:48 PM

  Presenters

  • Jacob Leamer

    • Tulane University

  Authors

  • Jacob Leamer

    • Tulane University

  • Alicia B Magann

    • Sandia National Laboratories

  • Denys I Bondar

    • Tulane University

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