Recent Advances in Quantum Algorithms

INVITED · T45 · ID: 1850734

Presentations

  • Robust phase estimation and Heisenberg-limited Hamiltonian learning

    ORAL · Invited

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    Publication: Hongkang Ni, Haoya Li, Lexing Ying, On low-depth algorithms for quantum phase estimation, arXiv:2302.02454

    Haoya Li, Hongkang Ni, Lexing Ying, On adaptive low-depth quantum algorithms for robust multiple-phase estimation, arXiv:2303.08099

    Haoya Li, Yu Tong, Hongkang Ni, Tuvia Gefen, Lexing Ying, Heisenberg-limited Hamiltonian learning for interacting bosons, arXiv:2307.04690

    Presenters

    • Lexing Ying

      Stanford

    Authors

    • Lexing Ying

      Stanford

    View abstract →

  • Non-orthogonality in quantum algorithms for molecular states enables quantum advantage

    ORAL · Invited

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    Publication: "Say NO to Optimization: A Nonorthogonal Quantum Eigensolver"
    Unpil Baek , Diptarka Hait, James Shee , Oskar Leimkuhler, William J. Huggins, Torin F. Stetina, Martin Head-Gordon, and K. Birgitta Whaley. PRX QUANTUM 4, 030307 (2023)

    Presenters

    • Birgitta Whaley

      University of California, Berkeley, Department of Chemistry, University of California, Berkeley

    Authors

    • Birgitta Whaley

      University of California, Berkeley, Department of Chemistry, University of California, Berkeley

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  • Quantum Thermal State Preparation

    ORAL · Invited

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    Publication: Chi-Fang Chen, Michael J. Kastoryano, Fernando G.S.L. Brandão, and András Gilyén: Quantum Thermal State Preparation (arXiv:2303.18224)
    Chi-Fang Chen, Michael J. Kastoryano, and András Gilyén: An efficient and exact noncommutative quantum Gibbs sampler

    Presenters

    • András Gilyén

      Alfréd Rényi Institute of Mathematics

    Authors

    • András Gilyén

      Alfréd Rényi Institute of Mathematics

    • Chi-Fang Chen

      Caltech

    • Michael J Kastoryano

      IT University of Copenhagen

    • Fernando G Brandão

      AWS Center for Quantum Computing, AWS Center for Quantum Computing; Caltech

    View abstract →