Adiabatic Optimization

Adiabatic Optimization is a quantum optimization method that belongs to the class of adiabatic quantum computing techniques, distinguished by its reliance on the adiabatic theorem to evolve a quantum system from the ground state of a simple initial Hamiltonian to the ground state of a problem Hamiltonian encoding the solution to an optimization problem.

144

Publications

12.5K

Citations

389

Authors

182

Institutions

Publications per year

2017–2026

53

Variants

Adiabatic Quantum Optimization

Authors

389

  1. NG
    Neil G. Dickson

    D-Wave Systems (Canada), Canada

    6 publications · 461 citations

    6

    h-index

  2. GR
    Geordie Rose

    D-Wave Systems (Canada), Canada

    6 publications · 777 citations

    6

    h-index

  3. MH
    M. H. S. Amin

    D-Wave Systems (Canada), Canada

    6 publications · 561 citations

    6

    h-index

  4. DA
    Daniel A. Lidar

    University of Southern California, United States

    5 publications · 1.8K citations

    5

    h-index

  5. TA
    Tameem Albash

    University of Southern California, United States

    5 publications · 1.7K citations

    5

    h-index

1–5 of 389

Venues

  1. Physical review. A/Physical review, A

    PRA · 12 publications · 327 citations

    12

    h-index

  2. Physical Review A

    PRA · 12 publications · 655 citations

    11

    h-index

  3. arXiv (Cornell University)

    Repository · 13 publications · 551 citations

    11

    h-index

  4. Physical Review Letters

    PRL · 9 publications · 874 citations

    9

    h-index

  5. New Journal of Physics

    NJP · 5 publications · 505 citations

    5

    h-index

1–5