Snowflake: A Distributed Streaming Decoder
Fuente:
arXiv
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866914410386161664 |
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| author | Chan, Tim |
| author_facet | Chan, Tim |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_01701 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Snowflake: A Distributed Streaming Decoder Chan, Tim Quantum Physics 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. |
| title | Snowflake: A Distributed Streaming Decoder |
| topic | Quantum Physics |
| url | https://arxiv.org/abs/2406.01701 |