'Snowflake': a distributed streaming decoder

It is widely believed that quantum computers will be useful only if they are error corrected.

A crucial part of error correction is the decoder: a classical algorithm that continuously deduces when errors have occurred from repeated measurements of the quantum processor (the decoder must be extremely fast and accurate).

In the paper: 'Snowflake: a distributed streaming decoder', published in Quantum, Tim Chan designs a decoder called Snowflake that is a streaming algorithm, so it natively handles the continuous nature of decoding.  Snowflake is intended to run on hardware that is distributed and local (ie a grid of identical processing cells, each communicating only with the nearest neighbours favourably) rather than a non-distributed implementation of an existing state-of-the-art decoder.