GPU-Accelerated Automorphism Ensemble Decoding of Quantum LDPC Codes

Quantum computers promise breakthroughs on problems that are intractable for even the most powerful supercomputers. However, the building blocks of quantum computers, qubits, are fragile and susceptible to noise, which corrupts calculations. Quantum Error Correction (QEC) allows us to bypass those issues, but it requires fast and accurate classical decoding algorithms.

Publication Details

Journal
Front Matter
Published
2025-09-16
DOI
https://doi.org/10.59350/2tsb3-hy509
Citations
3
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.42
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article

GPU-Accelerated Automorphism Ensemble Decoding of Quantum LDPC Codes

3 citations
Front Matter
Molecular Biology Techniques and Applications
2.42
article

GPU-Accelerated Automorphism Ensemble Decoding of Quantum LDPC Codes

article en
3 citations

Abstract

Quantum computers promise breakthroughs on problems that are intractable for even the most powerful supercomputers. However, the building blocks of quantum computers, qubits, are fragile and susceptible to noise, which corrupts calculations. Quantum Error Correction (QEC) allows us to bypass those issues, but it requires fast and accurate classical decoding algorithms.

Front Matter
Peace, Justice and strong institutions
Openalex Percentile: Top 10%
Molecular Biology Techniques and Applications
2.42
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GPU-Accelerated Automorphism Ensemble Decoding of Quantum LDPC Codes · Front Matter (2025) | TGRS Research Map | TGRS