A decoding algorithm for CSS codes using the X/Z correlations
Nicolas Delfosse, Jean-Pierre Tillich
TL;DR
This paper introduces a decoding algorithm for CSS quantum error-correcting codes that leverages X/Z error correlations to improve decoding performance, specifically enhancing surface code decoding.
Contribution
The paper presents a novel decoding algorithm for CSS codes that incorporates X/Z correlations, improving upon existing surface code decoding methods.
Findings
Enhanced decoding accuracy for surface codes.
Utilization of X/Z correlations improves error correction.
Modified perfect matching algorithm outperforms traditional methods.
Abstract
We propose a simple decoding algorithm for CSS codes taking into account the correlations between the X part and the Z part of the error. Applying this idea to surface codes, we derive an improved version of the perfect matching decoding algorithm which uses these X/Z correlations.
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Taxonomy
TopicsCoding theory and cryptography · graph theory and CDMA systems · Advanced Wireless Communication Techniques