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Pipelined correlated minimum weight perfect matching of the surface code

Date:

Alexandru Paler1,2 and Austin G. Fowler3

1Aalto University, Espoo 02150, Finland
2University of Texas at Dallas, Richardson, TX 75080, USA
3Google Inc., Santa Barbara, 93117 CA, USA

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Abstract

We describe a pipeline approach to decoding the surface code using minimum weight perfect matching, including taking into account correlations between detection events. An independent no-communication parallelizable processing stage reweights the graph according to likely correlations, followed by another no-communication parallelizable stage for high confidence matching. A later general stage finishes the matching. This is a simplification of previous correlated matching techniques which required a complex interaction between general matching and re-weighting the graph. Despite this simplification, which gives correlated matching a better chance of achieving real-time processing, we find the logical error rate practically unchanged. We validate the new algorithm on the fully fault-tolerant toric, unrotated, and rotated surface codes, all with standard depolarizing noise. We expect these techniques to be applicable to a wide range of other decoders.

► BibTeX data

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Cited by

[1] Antonio deMarti iOlius, Josu Etxezarreta Martinez, Patricio Fuentes, and Pedro M. Crespo, “Performance enhancement of surface codes via recursive minimum-weight perfect-match decoding”, Physical Review A 108 2, 022401 (2023).

[2] Luka Skoric, Dan E. Browne, Kenton M. Barnes, Neil I. Gillespie, and Earl T. Campbell, “Parallel window decoding enables scalable fault tolerant quantum computation”, Nature Communications 14, 7040 (2023).

[3] Samuel C. Smith, Benjamin J. Brown, and Stephen D. Bartlett, “Local Predecoder to Reduce the Bandwidth and Latency of Quantum Error Correction”, Physical Review Applied 19 3, 034050 (2023).

[4] F. Battistel, C. Chamberland, K. Johar, R. W. J. Overwater, F. Sebastiano, L. Skoric, Y. Ueno, and M. Usman, “Real-time decoding for fault-tolerant quantum computing: progress, challenges and outlook”, Nano Futures 7 3, 032003 (2023).

[5] Gyorgy P. Geher, Ophelia Crawford, and Earl T. Campbell, “Tangling schedules eases hardware connectivity requirements for quantum error correction”, arXiv:2307.10147, (2023).

The above citations are from SAO/NASA ADS (last updated successfully 2023-12-12 14:34:18). The list may be incomplete as not all publishers provide suitable and complete citation data.

Could not fetch Crossref cited-by data during last attempt 2023-12-12 14:34:17: Could not fetch cited-by data for 10.22331/q-2023-12-12-1205 from Crossref. This is normal if the DOI was registered recently.

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