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Gaojun Luo

12 papers hereh-index 568 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author7
  • last author1

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • cs.IT12
same name
  • Gaojun Luo — 13 papers, h 14
  • Gaojun Luo — 2 papers, h 1
  • Gaojun Luo — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedBounds and Constructions of Quantum Locally Recoverable Codes from Quantum CSS Codes

1 citations · 1 across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.IT2025

Improved bounds and optimal constructions of pure quantum locally recoverable codes

Yang Li, Shitao Li, Gaojun Luo +1

By incorporating the concept of locality into quantum information theory, quantum locally recoverable codes (qLRCs) have been proposed, motivated by their potential applications in…

cs.IT2025

Generalized Repetition Codes and Their Application to HARQ

Chaofeng Guan, Gaojun Luo, Lan Luo +2

The inherent uncertainty of communication channels implies that any coding scheme has a non-zero probability of failing to correct errors, making retransmission mechanisms essentia…

cs.IT2025

On optimal quantum LRCs from the Hermitian construction and t-designs

Yang Li, Shitao Li, Huimin Lao +2

In a recent work, quantum locally recoverable codes (qLRCs) have been introduced for their potential application in large-scale quantum data storage and implication for quantum LDP…

cs.IT2025

Lower Bounds for Error Coefficients of Griesmer Optimal Linear Codes via Iteration

Chaofeng Guan, Shitao Li, Gaojun Luo +2

The error coefficient of a linear code is defined as the number of minimum-weight codewords. In an additive white Gaussian noise channel, optimal linear codes with the smallest err…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.