Quantum Optimization Algorithms

Quantum Optimization Algorithms is a class of quantum algorithms designed to solve optimization problems by leveraging quantum mechanical principles such as superposition, entanglement, and interference to explore solution spaces more efficiently than classical algorithms.

1.4K

Publications

92.8K

Citations

3.5K

Authors

1.2K

Institutions

Publications per year

2017–2026

898

Authors

3.5K

  1. HR
    Herschel Rabitz

    Princeton University, United States

    21 publications · 1.7K citations

    19

    h-index

  2. RS
    Ruslan Shaydulin

    Argonne National Laboratory, United States

    16 publications · 717 citations

    13

    h-index

  3. JS
    Jun Sun

    Jiangnan University, China

    15 publications · 3K citations

    13

    h-index

  4. LJ
    Licheng Jiao

    Xidian University, China

    14 publications · 949 citations

    13

    h-index

  5. WX
    Wenbo Xu

    Jiangnan University, China

    14 publications · 3K citations

    12

    h-index

1–5 of 3.5K

Venues

  1. arXiv (Cornell University)

    Repository · 98 publications · 5.1K citations

    31

    h-index

  2. Physical review. A/Physical review, A

    PRA · 70 publications · 4.2K citations

    31

    h-index

  3. Physical Review Letters

    PRL · 29 publications · 3.1K citations

    26

    h-index

  4. Quantum

    42 publications · 3.3K citations

    26

    h-index

  5. Physical Review A

    PRA · 41 publications · 2.6K citations

    24

    h-index

1–5