Quantum Simulation II: Estimating Ground States

FOCUS · F64 · ID: 1112613

Presentations

  • ORAL

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    Publication: Preprints:
    Igor O. Sokolov, Werner Dobrautz, Hongjun Luo, Ali Alavi, Ivano Tavernelli, arXiv:2201.03049, submitted to Quantum

    Planned papers/to be submitted:
    'Ab Initio Transcorrelated Method enabling accurate Quantum Chemistry on noisy near-term Quantum Hardware'

    Presenters

    • Werner Dobrautz

      • Chalmers University of Technology

    Authors

    • Werner Dobrautz

      • Chalmers University of Technology

    • Igor O Sokolov

      • PASQAL

    • Martin Rahm

      • Chalmers University of Technology
      • Chalmers Univ of Tech

    • Ali Alavi

      • Max Planck Institute for Solid State Research

    • Ivano Tavernelli

      • IBM Research - Zurich

    View abstract →

  • ORAL

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    Presenters

    • Hang Hu

      • Fields Institute for Mathematical Sciences, National Research Council of Canada

    Authors

    • Anguang Hu

      • Suffield Research Centre, DRDC

    • Hang Hu

      • Fields Institute for Mathematical Sciences, National Research Council of Canada

    • Hsu Kiang (James) Ooi

      • Fields Institute for Mathematical Sciences, National Research Council of Canada

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  • ORAL · Invited

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    Publication: [1] L. Lin, Y. Tong, Near-optimal ground state preparation, Quantum, 4, 372, 2020
    [2] L. Lin, Y. Tong, Heisenberg-limited ground state energy estimation for early fault-tolerant quantum computers, PRX Quantum. 3, 010318, 2022
    [3] Y. Dong, L. Lin, Y. Tong, Ground state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices, PRX Quantum, 3, 040305
    [4] Z. Ding, L. Lin, Even shorter quantum circuit for phase estimation on early fault-tolerant quantum computers with applications to ground-state energy estimation, in preparation

    Presenters

    • Lin Lin

      • University of California, Berkeley
      • UC Berkeley

    Authors

    • Lin Lin

      • University of California, Berkeley
      • UC Berkeley

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  • ORAL

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    Publication: 1. A. Asthana*, A Kumar* et al., arXiv preprint arXiv:2206.10502 (2022)
    2. A. Kumar et al. (manuscript in preparation) (2022)
    3. A. Kumar et al., J. Chem. Theory Comput. 2022, 18, 9, 5312–5324.
    4. M. Motta et al., Phys. Chem. Chem. Phys., 2020, 22, 24270.

    Presenters

    • Ashutosh Kumar

      • Los Alamos National Lab

    Authors

    • Ashutosh Kumar

      • Los Alamos National Lab

    • Ayush Asthana

      • Virginia Tech

    • Vibin Abraham

      • University of Michigan

    • Thomas D Crawford

      • Virginia Tech

    • Nicholas Mayhall

      • Virginia Tech

    • Yu Zhang

      • Los Alamos National Laboratory
      • Los Alamos National Lab

    • Lukasz Cincio

      • Los Alamos National Laboratory
      • Los Alamos National Lab

    • Sergei Tretiak

      • Los Alamos National Laboratory
      • Los Alamos National Lab

    • Pavel A Dub

      • Los Alamos National Lab

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  • ORAL

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    Publication: Wang, G., Stilck-França, D., Zhang, R., Zhu, S., & Johnson, P. D. (2022). Quantum algorithm for ground state energy estimation using circuit depth with exponentially improved dependence on precision. arXiv preprint arXiv:2209.06811.

    Presenters

    • Ruizhe Zhang

      • The University of Texas at Austin

    Authors

    • Ruizhe Zhang

      • The University of Texas at Austin

    • Guoming Wang

      • Zapata Computing Inc

    • Daniel Stilck França

      • ENS Lyon

    • Shuchen Zhu

      • Georgetown University

    • Peter D Johnson

      • Zapata Computing

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  • ORAL

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    Presenters

    • Yuan Liu

      • Massachusetts Institute of Technology

    Authors

    • Yuan Liu

      • Massachusetts Institute of Technology

    • Zachary E Chin

      • Massachusetts Institute of Technology

    • Oinam R Meitei

      • Massachusetts Institute of Technology

    • Arkopal Dutt

      • Massachusetts Institute of Technology MIT

    • Max Tao

      • Massachusetts Institute of Technology

    • Troy Van Voorhis

      • Massachusetts Institute of Technology

    • Isaac L Chuang

      • Massachusetts Institute of Technology
      • MIT, RLE

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  • ORAL

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    Publication: https://arxiv.org/abs/2210.02403

    Presenters

    • Christoph Sünderhauf

      • Riverlane

    Authors

    • Christoph Sünderhauf

      • Riverlane

    • Aleksei V Ivanov

      • Riverlane

    • Nicole Holzmann

      • Riverlane

    • Tom Ellaby

      • Johnson Matthey

    • Rachel Kerber

      • Johnson Matthey

    • Glenn Jones

      • Johnson Matthey

    • Joan Camps

      • Riverlane

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