Introducing Ambiguity Clustering: An Accurate and Efficient Decoder for qLDPC Codes

We introduce Ambiguity Clustering, a new decoder for general quantum low-density parity check codes. On the recently proposed bivariate bicycle codes we find an order of magnitude speedup compared to the state-of-the-art BP-OSD decoder with no reduction in logical fidelity at physically realistic error rates. In particular, a single-threaded CPU implementation of Ambiguity Clustering is fast enough to decode the 144-qubit Gross code in real time for neutral atom and trapped ion systems.

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Publication Details

Published
2024-09-15
DOI
https://doi.org/10.1109/qce60285.2024.10326
Citations
11
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
3.82
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article

Introducing Ambiguity Clustering: An Accurate and Efficient Decoder for qLDPC Codes

Stasiu Wolanski, Ben Barber
11 citations
Coding theory and cryptography
3.82
article

Introducing Ambiguity Clustering: An Accurate and Efficient Decoder for qLDPC Codes

Stasiu Wolanski, Ben Barber
article en
11 citations

Abstract

We introduce Ambiguity Clustering, a new decoder for general quantum low-density parity check codes. On the recently proposed bivariate bicycle codes we find an order of magnitude speedup compared to the state-of-the-art BP-OSD decoder with no reduction in logical fidelity at physically realistic error rates. In particular, a single-threaded CPU implementation of Ambiguity Clustering is fast enough to decode the 144-qubit Gross code in real time for neutral atom and trapped ion systems.

Riverlane (United Kingdom) (GB)
Openalex Percentile: Top 6%
Coding theory and cryptography
3.82
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Introducing Ambiguity Clustering: An Accurate and Efficient Decoder for qLDPC Codes — Stasiu Wolanski, Ben Barber · (2024) | TGRS Research Map | TGRS