Quantum Circuit Resource Estimation

Quantum Circuit Resource Estimation is a theoretical framework in quantum computing that characterizes the computational cost of implementing a quantum circuit by quantifying fundamental resources such as qubit count, gate complexity, circuit depth, and fault-tolerant overhead, distinguished by its focus on predictive modeling of resource requirements for practical quantum algorithm execution.

70

Publications

6.1K

Citations

250

Authors

157

Institutions

Publications per year

2017–2026

51

Authors

250

  1. KM
    Krysta M. Svore

    Microsoft (United States), United States

    5 publications · 182 citations

    5

    h-index

  2. MT
    Matthias Troyer

    ETH Zurich, Switzerland

    4 publications · 823 citations

    4

    h-index

  3. VD
    Vedran Dunjko

    Leiden University, Netherlands

    4 publications · 428 citations

    4

    h-index

  4. JE
    Jens Eisert

    Freie Universität Berlin, Germany

    3 publications · 226 citations

    3

    h-index

  5. MR
    Martin Roetteler

    Microsoft (United States), United States

    3 publications · 77 citations

    3

    h-index

1–5 of 250

Venues

  1. arXiv (Cornell University)

    Repository · 8 publications · 208 citations

    8

    h-index

  2. Quantum

    8 publications · 1.4K citations

    8

    h-index

  3. Physical Review Letters

    PRL · 5 publications · 529 citations

    5

    h-index

  4. Physical Review Research

    5 publications · 268 citations

    5

    h-index

  5. PRX Quantum

    4 publications · 468 citations

    4

    h-index

1–5