Quantum Benchmarking

Quantum Benchmarking is a systematic evaluation framework designed to assess the performance, accuracy, and scalability of quantum machine learning models and algorithms by comparing them against standardized quantum computing metrics, protocols, and classical counterparts under controlled conditions.

276

Publications

20.8K

Citations

1.2K

Authors

411

Institutions

Publications per year

2017–2026

228

Authors

1.2K

  1. JG
    Jay Gambetta

    IBM Research - Thomas J. Watson Research Center, United States

    7 publications · 2K citations

    7

    h-index

  2. JJ
    Joel J. Wallman

    University of Waterloo, Canada

    6 publications · 362 citations

    6

    h-index

  3. RL
    Raymond Laflamme

    University of Waterloo, Canada

    5 publications · 572 citations

    5

    h-index

  4. TP
    Timothy Proctor

    Sandia National Laboratories California, United States

    5 publications · 367 citations

    5

    h-index

  5. NK
    Nathan Killoran

    Xanadu Quantum Technologies (Canada), Canada

    5 publications · 303 citations

    5

    h-index

1–5 of 1.2K

Venues

  1. arXiv (Cornell University)

    Repository · 38 publications · 1.1K citations

    21

    h-index

  2. Physical Review Letters

    PRL · 23 publications · 3.9K citations

    21

    h-index

  3. Physical review. A/Physical review, A

    PRA · 21 publications · 1.9K citations

    18

    h-index

  4. Quantum

    19 publications · 1.7K citations

    17

    h-index

  5. New Journal of Physics

    NJP · 12 publications · 563 citations

    11

    h-index

1–5