Demo Data from EDBT 2026 / reviewers in the wild / expert
Zhuo-Yan Xiao
dblp:292/2130
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 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 · 83% Coding theory · 17% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Quantum computing and quantum information
quantum error correction |
0.7 | 1 | 2023 | Construction of Multiple-Rate Quantum LDPC Codes Sharing One Scalable Stabilizer Circuit · IEEE Trans. Commun. 2023 |
Quantum computing and quantum information › quantum error correction
quantum LDPC codes |
0.7 | 1 | 2023 | Construction of Multiple-Rate Quantum LDPC Codes Sharing One Scalable Stabilizer Circuit · IEEE Trans. Commun. 2023 |
Quantum computing and quantum information › quantum error correction
stabilizer codes |
0.7 | 1 | 2023 | Construction of Multiple-Rate Quantum LDPC Codes Sharing One Scalable Stabilizer Circuit · IEEE Trans. Commun. 2023 |
Coding theory › error-correcting codes
LDPC codes |
0.2 | 1 | 2023 | Construction of Multiple-Rate Quantum LDPC Codes Sharing One Scalable Stabilizer Circuit · IEEE Trans. Commun. 2023 |
Coding theory › source coding › rate-distortion theory
variable-rate coding |
0.2 | 1 | 2023 | Construction of Multiple-Rate Quantum LDPC Codes Sharing One Scalable Stabilizer Circuit · IEEE Trans. Commun. 2023 |
Methods — techniques the papers use, named apart from their topics
row-circulant parity-check matrix · 0.7CSS codes · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Construction of Multiple-Rate Quantum LDPC Codes Sharing One Scalable Stabilizer CircuitabstractVariable-rate coding schemes that support a variety of different rates while maintaining the same fundamental encoder/decoder architectures are of great interest in practical communication systems. Similar error-correcting code schemes are also in demand in quantum settings. However, generally, it is difficult to introduce the variable-rate coding schemes into the quantum coding domain attributed to two challenges: Obtaining new quantum codes from old ones systematically and sharing encoder-decoder components among the newly obtained quantum codes. In this correspondence, a multiple-rate coding scheme is introduced into the quantum coding domain, we achieve this goal by providing a systematic method to construct new non-homogeneous quantum LDPC codes of CSS type from an old one (named as the mother code) whose classical parity-check matrix (PCM) is row-circulant. The basic idea is to split rows of the highest-rate stabilizer elaborately to produce the stabilizer for lower rates, which ensures that the generated code family owns the same code length. More importantly, thanks to the nested stabilizer structures possessed by the resulting quantum codes, our method also enables a scalable stabilizer circuit to be shared among them. Yun-Jiang Wang, Zhuo-Yan Xiao, Xing-Yu Xiong, Sha Shi |
IEEE Trans. Commun. | 2 |