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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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- 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...
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