VLDB 2026 Research / reviewers in the wild / expert
G. Mitchison
dblp:15/4652
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Theoretical computer science
1 paper |
Quantum computing and quantum information · 50% Coding theory · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Quantum computing and quantum information
quantum error correction |
0.0 | 1 | 2004 | Sparse-graph codes for quantum error correction · IEEE Trans. Inf. Theory 2004 |
Coding theory › error-correcting codes › graph-based codes
sparse-graph codes |
0.0 | 1 | 2004 | Sparse-graph codes for quantum error correction · IEEE Trans. Inf. Theory 2004 |
Methods — techniques the papers use, named apart from their topics
sparse-graph code construction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Sparse-graph codes for quantum error correctionabstractSparse-graph codes appropriate for use in quantum error-correction are presented. Quantum error-correcting codes based on sparse graphs are of interest for three reasons. First, the best codes currently known for classical channels are based on sparse graphs. Second, sparse-graph codes keep the number of quantum interactions associated with the quantum error-correction process small: a constant number per quantum bit, independent of the block length. Third, sparse-graph codes often offer great flexibility with respect to block length and rate. We believe some of the codes we present are unsurpassed by previously published quantum error-correcting codes. David J. C. MacKay, G. Mitchison, P. L. McFadden |
IEEE Trans. Inf. Theory | 2 |