Quantum Data Compression

Quantum Data Compression is a theoretical framework in quantum information theory that enables the reduction of the number of quantum resources required to represent a quantum state by exploiting statistical redundancies in an ensemble of quantum signals, thereby achieving efficient quantum storage and transmission.

138

Publications

8.1K

Citations

319

Authors

196

Institutions

Publications per year

2017–2026

48

Authors

319

  1. AW
    Andreas Winter

    University of Bristol, United Kingdom

    6 publications · 234 citations

    6

    h-index

  2. ND
    Nilanjana Datta

    University of Cambridge, United Kingdom

    6 publications · 165 citations

    6

    h-index

  3. RZ
    Ri‐Gui Zhou

    Shanghai Maritime University, China

    5 publications · 614 citations

    5

    h-index

  4. RJ
    Richard Jozsa

    University of Bristol, United Kingdom

    4 publications · 201 citations

    4

    h-index

  5. MM
    Mark M. Wilde

    Louisiana State University, United States

    4 publications · 175 citations

    4

    h-index

1–5 of 319

Venues

  1. IEEE Transactions on Information Theory

    22 publications · 960 citations

    18

    h-index

  2. Physical Review A

    PRA · 19 publications · 956 citations

    17

    h-index

  3. Physical Review Letters

    PRL · 15 publications · 881 citations

    14

    h-index

  4. Quantum Information Processing

    10 publications · 1.5K citations

    10

    h-index

  5. arXiv (Cornell University)

    Repository · 6 publications · 253 citations

    6

    h-index

1–5