Embedding Techniques

Embedding Techniques is a methodological framework in adiabatic quantum computing that maps logical qubits of a problem Hamiltonian onto a physical quantum processor’s connected qubit architecture by introducing auxiliary qubits and coupling strengths to preserve the original problem’s energy landscape.

449

Publications

26.9K

Citations

1.5K

Authors

563

Institutions

Publications per year

2017–2026

248

Authors

1.5K

  1. XC
    Xueqi Cheng

    Chinese Academy of Sciences, China

    4 publications · 77 citations

    4

    h-index

  2. MG
    Mihajlo Grbovic

    Yahoo (United States), United States

    4 publications · 397 citations

    4

    h-index

  3. HD
    Hristo Djidjev

    Los Alamos National Laboratory, United States

    3 publications · 61 citations

    3

    h-index

  4. RW
    Robert Weigel

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    3 publications · 66 citations

    3

    h-index

  5. WZ
    Weiming Zhang

    University of Science and Technology of China, China

    3 publications · 222 citations

    3

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 29 publications · 1.7K citations

    18

    h-index

  2. IEEE Access

    14 publications · 857 citations

    12

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 11 publications · 614 citations

    11

    h-index

  4. IEEE Signal Processing Letters

    6 publications · 209 citations

    6

    h-index

  5. Quantum Information Processing

    5 publications · 388 citations

    5

    h-index

1–5