Quantum Control Landscapes

Quantum Control Landscapes is a mathematical framework that characterizes the relationship between quantum control objectives, such as state fidelity or gate accuracy, and the space of controllable parameters, such as electromagnetic field shapes or pulse sequences, by mapping the objective function’s dependence on control inputs to enable systematic optimization in quantum dynamical systems.

71

Publications

3.3K

Citations

93

Authors

52

Institutions

Publications per year

2017–2026

14

Authors

93

  1. HR
    Herschel Rabitz

    Princeton University, United States

    49 publications · 2.2K citations

    28

    h-index

  2. RW
    Re-Bing Wu

    Tsinghua University, China

    22 publications · 683 citations

    17

    h-index

  3. MH
    Michael Hsieh

    Princeton University, United States

    12 publications · 1K citations

    12

    h-index

  4. TH
    Tak‐San Ho

    Princeton University, United States

    10 publications · 430 citations

    10

    h-index

  5. AP
    Alexander Pechen

    Steklov Mathematical Institute, Russia

    7 publications · 356 citations

    7

    h-index

1–5 of 93

Venues

  1. Physical Review A

    PRA · 29 publications · 1.3K citations

    22

    h-index

  2. The Journal of Chemical Physics

    8 publications · 330 citations

    8

    h-index

  3. 8

    h-index

  4. Physical review. A/Physical review, A

    PRA · 5 publications · 138 citations

    5

    h-index

  5. Physical Review Letters

    PRL · 2 publications · 183 citations

    2

    h-index

1–5