Deterministic Circuit Complexity

Deterministic Circuit Complexity is the subfield of circuit complexity that studies the minimum size or depth of Boolean circuits composed of deterministic gates—i.e., gates that compute fixed functions without randomness or nondeterministic choices—required to compute a given Boolean function, distinguishing it from probabilistic or nondeterministic models of circuit complexity.

19

Publications

661

Citations

42

Authors

29

Institutions

Publications per year

2017–2026

6

Authors

42

  1. KH
    Kaave Hosseini

    University of California San Diego, United States

    2 publications · 46 citations

    2

    h-index

  2. HH
    Hamed Hatami

    University of Toronto, Canada

    2 publications · 46 citations

    2

    h-index

  3. RR
    Ran Raz

    Weizmann Institute of Science, Israel

    2 publications · 94 citations

    2

    h-index

  4. SL
    Shachar Lovett

    University of California San Diego, United States

    2 publications · 46 citations

    2

    h-index

  5. ZZ
    Zhiqiang Zhang

    Tongji University, China

    1 publications · 12 citations

    1

    h-index

1–5 of 42

Venues

  1. SIAM Journal on Computing

    2 publications · 40 citations

    2

    h-index

  2. Quantum Information and Computation

    QIC · 1 publications · 40 citations

    1

    h-index

  3. Journal of Symbolic Computation

    1 publications · 25 citations

    1

    h-index

  4. 1

    h-index

  5. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 1 publications · 24 citations

    1

    h-index

1–5