Machine Learning and Quantum Simulation

Presentations

• Revealing microcanonical phase diagrams of strongly correlated electrons on quantum computers I

  ORAL

  March 6, 2023, 11:00 AM – March 6, 2023, 11:12 AM

  Presenters

  • Gaurav Gyawali

    Cornell University, Harvard University

  Authors

  • Gaurav Gyawali

    Cornell University, Harvard University

  • Mabrur Ahmed

    Binghamton University

  • Eric W Aspling

    Binghamton University

  • Luke A Ellert-Beck

    Southern Illinois University Carbondale

  • Michael J Lawler

    Binghamton University

  View abstract →

• Revealing microcanonical phase diagrams of strongly correlated electrons on quantum computers II

  ORAL

  March 6, 2023, 11:12 AM – March 6, 2023, 11:24 AM

  Presenters

  • Mabrur Ahmed

    Binghamton University

  Authors

  • Mabrur Ahmed

    Binghamton University

  • Gaurav Gyawali

    Cornell University, Harvard University

  • Michael J Lawler

    Binghamton University

  View abstract →

• Adaptive randomized measurement: a practical route to achieve scientific discovery from quantum simulations

  ORAL

  March 6, 2023, 11:24 AM – March 6, 2023, 11:36 AM

  Presenters

  • Wonjun Lee

    Pohang Univ of Sci & Tech

  Authors

  • Wonjun Lee

    Pohang Univ of Sci & Tech

  • Cheong Eung Ahn

    Pohang University of Science and Technology, Center for Artificial Low Dimensional Electronic Systems, Institute for Basic Science, Pohang University of Science and Technology (POSTECH)

  • Hyukjoon Kwon

    Korea Institute for Advanced Study

  • Gil Young Cho

    Pohang University of Science and Technology, Asia-Pacific Center for Theoretical Physics, Center for Artificial Low Dimensional Electronic Systems, Institute for Basic Science, Pohang Univ of Sci & Tech

  View abstract →

• Quantum variational learning for quantum error-correcting codes

  ORAL

  March 6, 2023, 11:36 AM – March 6, 2023, 11:48 AM

  Publication: Quantum 6, 828 (2022)

  Presenters

  • Chenfeng Cao

    The Hong Kong University of Science and Technology

  Authors

  • Chenfeng Cao

    The Hong Kong University of Science and Technology

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• Reconstructing Thermal Quantum Quench Dynamics from Pure States

  ORAL

  March 6, 2023, 11:48 AM – March 6, 2023, 12:00 PM

  Publication: None

  Presenters

  • Jason Saroni

    Iowa State University

  Authors

  • Jason Saroni

    Iowa State University

  • Henry S Lamm

    Fermilab

  • Peter P Orth

    Iowa State University, Ames National Laboratory

  • Thomas Iadecola

    Iowa State University

  View abstract →

• Variational learning algorithms for quantum query complexity

  ORAL

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

  Publication: https://arxiv.org/abs/2205.07449

  Presenters

  • Zipeng Wu

    The Hong Kong University of Science and

  Authors

  • Zipeng Wu

    The Hong Kong University of Science and

  • Bei Zeng

    The Hong Kong University of Science and, Hong Kong University of Science and Technology

  • ZHANG CHAO

    The Hong Kong University of Science and Technology

  View abstract →

• The Quantum Fourier Transform Has Small Entanglement

  ORAL

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

  Publication: https://arxiv.org/abs/2210.08468

  Presenters

  • Jielun Chen

    Caltech

  Authors

  • Jielun Chen

    Caltech

  View abstract →

• Quantum Boundary Integral Algorithm for linear and nonlinear PDEs in Quantum Computation of Fluid Dynamics

  ORAL

  March 6, 2023, 12:24 PM – March 6, 2023, 12:36 PM

  Presenters

  • Sachin Satish Bharadwaj

    New York University (NYU)

  Authors

  • Sachin Satish Bharadwaj

    New York University (NYU)

  • Balu Nadiga

    LANL

  • Stephan Eidenbenz

    LANL, Los Alamos National Laboratory

  • K. R Sreenivasan

    Department, Courant Institute of Mathema

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• Adaptive variational quantum minimally entangled typical thermal states for finite temperature simulations

  ORAL

  March 6, 2023, 12:36 PM – March 6, 2023, 12:48 PM

  Presenters

  • Yong-Xin Yao

    Ames National Laboratory

  Authors

  • Yong-Xin Yao

    Ames National Laboratory

  • Jo~{a}o Getelina

    Ames National Laboratory

  • Niladri Gomes

    Lawrence Berkeley National Laboratory

  • Thomas Iadecola

    Iowa State University

  • Peter P Orth

    Iowa State University, Ames National Laboratory

  View abstract →

• Using the Variational Quantum Thermalizer as an Impurity Solver

  ORAL

  March 6, 2023, 12:48 PM – March 6, 2023, 1:00 PM

  Publication: https://doi.org/10.48550/arXiv.2208.07621

  Presenters

  • Johannes Selisko

    Robert Bosch GmbH

  Authors

  • Johannes Selisko

    Robert Bosch GmbH

  • Maximilian Amsler

    Robert Bosch GmbH, Cornell University

  • Thomas Hammerschmidt

    Ruhr Universität Bochum

  • Ralf Drautz

    Ruhr Universität Bochum

  • Thomas Eckl

    Robert Bosch GmbH

  View abstract →

• Green's function approach to quantum chemistry on a quantum computer via dynamical self-energy mapping

  ORAL

  March 6, 2023, 1:00 PM – March 6, 2023, 1:12 PM

  Presenters

  • Christina Daniel

    Georgetown University

  Authors

  • Christina Daniel

    Georgetown University

  • Barbara Jones

    IBM Research, IBM, IBM Quantum

  • James K Freericks

    Georgetown University

  View abstract →

• Koopman operator learning for accelerating quantum optimization and machine learning

  ORAL

  March 6, 2023, 1:12 PM – March 6, 2023, 1:24 PM

  Publication: In preparation.

  Presenters

  • Di Luo

    Massachusetts Institute of Technology

  Authors

  • Di Luo

    Massachusetts Institute of Technology

  • Jiayu Shen

    University of Illinois, Urbana-Champaign

  • Rumen Dangovski

    Massachusetts Institute of Technology

  • Marin Soljacic

    Massachusetts Institute of Technology

  View abstract →

• Neural-network-enabled hybrid classical-quantum computing

  ORAL · Invited

  March 6, 2023, 1:24 PM – March 6, 2023, 2:00 PM

  Presenters

  • Giuseppe Carleo

    École polytechnique fédérale de Lausanne, EPFL

  Authors

  • Giuseppe Carleo

    École polytechnique fédérale de Lausanne, EPFL

  View abstract →