Demo Data from EDBT 2026 / reviewers in the wild / expert
Anirudh Krishna
dblp:235/6991
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 1 · 1 first-author · 1 since 2021
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 · 61% Coding theory · 39% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes › decoding
decoding algorithms |
0.8 | 1 | 2024 | Viderman's algorithm for quantum LDPC codes · SODA 2024 |
Quantum computing and quantum information
quantum error correction |
0.8 | 1 | 2024 | Viderman's algorithm for quantum LDPC codes · SODA 2024 |
Quantum computing and quantum information › quantum error correction
quantum LDPC codes |
0.8 | 1 | 2024 | Viderman's algorithm for quantum LDPC codes · SODA 2024 |
Coding theory › error-correcting codes
LDPC codes |
0.2 | 1 | 2024 | Viderman's algorithm for quantum LDPC codes · SODA 2024 |
Methods — techniques the papers use, named apart from their topics
viderman's algorithm · 0.8erasure-correction reduction · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Viderman's algorithm for quantum LDPC codesabstractQuantum low-density parity-check (LDPC) codes, a class of quantum error correcting codes, are considered a blueprint for scalable quantum circuits. To use these codes, one needs efficient decoding algorithms. In the classical setting, there are multiple efficient decoding algorithms available, including Viderman's algorithm (Viderman, TOCT 2013). Viderman's algorithm for classical LDPC codes essentially reduces the error- correction problem to that of erasure-correction, by identifying a small envelope L that is guaranteed to contain the error set. Anirudh Krishna, Inbal Livni Navon, Mary Wootters |
SODA | 1 |