Bpp Complexity Class

The BPP Complexity Class is a complexity class consisting of decision problems solvable by a probabilistic Turing machine in polynomial time with an error probability bounded away from 1/3 for all instances.

43

Publications

4.2K

Citations

73

Authors

46

Institutions

Publications per year

2017–2026

3

Authors

73

  1. RI
    Russell Impagliazzo

    University of California San Diego, United States

    7 publications · 976 citations

    7

    h-index

  2. AW
    Avi Wigderson

    Hebrew University of Jerusalem, Israel

    6 publications · 1.1K citations

    6

    h-index

  3. LF
    Lance Fortnow

    University of Chicago, United States

    3 publications · 99 citations

    3

    h-index

  4. DP
    David P. DiVincenzo

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

    3 publications · 240 citations

    3

    h-index

  5. BM
    Barbara M. Terhal

    IBM (United States), United States

    3 publications · 240 citations

    3

    h-index

1–5 of 73

Venues

  1. SIAM Journal on Computing

    7 publications · 1.2K citations

    7

    h-index

  2. Electronic Notes in Theoretical Computer Science

    ENTCS · 2 publications · 34 citations

    2

    h-index

  3. Information Processing Letters

    2 publications · 269 citations

    2

    h-index

  4. Physical Review Letters

    PRL · 1 publications · 91 citations

    1

    h-index

  5. arXiv (Cornell University)

    Repository · 1 publications · 15 citations

    1

    h-index

1–5