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Quantum Error Correction Fault Tolerance Quantum Machine Learning

Snowflake: A Distributed Streaming Decoder

arXiv
Authors: Tim Chan

Year

2024

Paper ID

66972

Status

Preprint

Abstract Read

~2 min

Abstract Words

77

Citations

N/A

Abstract

We design Snowflake, a quantum error correction decoder that, for the surface code under circuit-level noise, is roughly 25% more accurate than the Union-Find decoder, with a better mean runtime scaling: subquadratic as opposed to cubic in the code distance. Our decoder runs in a streaming fashion and has a distributed, local implementation. In designing Snowflake, we propose a new method for general stream decoding that eliminates the processing overhead due to window overlap in existing windowing methods.

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