arXiv · 2406.01701
Snowflake: A Distributed Streaming Decoder
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.
Explore related subjects
Keep this discovery
Tim Chan. 2024-06-03. Snowflake: A Distributed Streaming Decoder. https://doi.org/10.22331/q-2026-03-20-2033
Cite the original work for its findings. Save a collection to share your selection of sources.