Quantum Gate Optimization

Quantum Gate Optimization is a computational methodology aimed at minimizing resource consumption, error rates, or operational complexity in the implementation of quantum logic gates while preserving their unitary evolution and fidelity within a quantum computing system.

274

Publications

14.5K

Citations

828

Authors

386

Institutions

Publications per year

2017–2026

152

Authors

828

  1. KB
    K. Birgitta Whaley

    University of California, Berkeley, United States

    7 publications · 356 citations

    7

    h-index

  2. DM
    Dmitri Maslov

    University of California, Riverside, United States

    7 publications · 682 citations

    7

    h-index

  3. TC
    Tommaso Calarco

    Universität Ulm, Germany

    7 publications · 470 citations

    7

    h-index

  4. RW
    Robert Wille

    Johannes Kepler University of Linz, Austria

    7 publications · 547 citations

    7

    h-index

  5. CP
    Christiane P. Koch

    University of Kassel, Germany

    7 publications · 430 citations

    7

    h-index

1–5 of 828

Venues

  1. Physical Review A

    PRA · 27 publications · 1.7K citations

    21

    h-index

  2. Physical review. A/Physical review, A

    PRA · 23 publications · 2K citations

    18

    h-index

  3. Physical Review Letters

    PRL · 19 publications · 1.7K citations

    17

    h-index

  4. arXiv (Cornell University)

    Repository · 16 publications · 298 citations

    12

    h-index

  5. New Journal of Physics

    NJP · 11 publications · 570 citations

    11

    h-index

1–5