Grape Algorithm

The GRAPE Algorithm is a quantum optimal control method that iteratively computes control pulses by maximizing a fidelity functional through gradient ascent, distinguishing itself from other control techniques by its explicit discretization of the control fields and efficient evaluation of gradients over the entire time evolution.

31

Publications

1.5K

Citations

99

Authors

60

Institutions

Publications per year

2017–2026

22

Authors

99

  1. RW
    Re-Bing Wu

    Tsinghua University, China

    6 publications · 294 citations

    6

    h-index

  2. HD
    Haijin Ding

    Tsinghua University, China

    3 publications · 194 citations

    3

    h-index

  3. HR
    Herschel Rabitz

    Princeton University, United States

    3 publications · 137 citations

    3

    h-index

  4. JL
    Jure Leskovec

    Stanford University, United States

    2 publications · 105 citations

    2

    h-index

  5. FM
    Felix Motzoi

    Forschungszentrum Jülich, Germany

    2 publications · 58 citations

    2

    h-index

1–5 of 99

Venues

  1. Physical review. A/Physical review, A

    PRA · 13 publications · 569 citations

    13

    h-index

  2. Physical Review A

    PRA · 4 publications · 381 citations

    4

    h-index

  3. 1

    h-index

  4. 1

    h-index

  5. Neural Information Processing Systems

    Conference · 1 publications · 11 citations

    1

    h-index

1–5