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Fast Decoders for Topological Quantum Codes

Guillaume Duclos-Cianci, David Poulin

arXiv:0911.0581v2quant-phcond-mat.str-elhep-th

TL;DR

Topological-code decoding requires rapid inference of error homology while accounting for degeneracy and correlated errors. The paper combines real-space renormalization with belief propagation to estimate free energies, achieving logarithmic parallel runtime and depolarizing thresholds up to 16.4%.

  • Problem

    Efficient decoding must infer world-line homology rapidly, but minimum-weight perfect matching scales as ℓ^6 and minimizes energy rather than free energy.

  • Method

    The paper uses overlapping-code real-space renormalization, brute-force decoding of small blocks, and belief propagation to impose self-consistency on shared-qubit probabilities.

  • Results

    The algorithm runs in time log ℓ in parallel and reaches a depolarizing threshold of p ∼16.4%, exceeding the PMA.

  • Takeaways & Limitations

    The method provides a versatile decoder for topologically ordered systems, including color codes, and supports fault-tolerant quantum information processing schemes.

  • Takeaways & Limitations

    The PMA treats X and Z errors independently, although depolarizing noise correlates them through Y errors.

Abstract

from arXiv · show

We present a family of algorithms, combining real-space renormalization methods and belief propagation, to estimate the free energy of a topologically ordered system in the presence of defects. Such an algorithm is needed to preserve the quantum information stored in the ground space of a topologically ordered system and to decode topological error-correcting codes. For a system of linear size L, our algorithm runs in time log L compared to L^6 needed for the minimum-weight perfect matching algorithm previously used in this context and achieves a higher depolarizing error threshold.

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