Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 6 min ago
PreprintarXiv licencearXiv

Linear-time erasure recovery for quantum expander codes

Abstract

Erasures are used to model faults at a subset of known locations in various platforms used to construct fault-tolerant quantum computers. Beyond the utility in erasure recovery, efficient decoders for erasures are useful to both understand error decoders and as a subroutine for error decoding. Classical expander codes, which belong to the family of low-density parity-check (LDPC) codes, can be equipped with the Peeling decoder which works in linear time. Our main result is the algorithm Small-Set-Peeling, a quantum generalization of the classical Peeling decoder for erasures, that applies to quantum expander codes (Tillich, Zémor, IEEE T-IT 2013; Leverrier, Tillich, Zémor, FOCS 2015). This decoder can correct up to D−1 erasures, where D is the (design) distance of the code and, importantly, is the first decoder that is guaranteed to do so in linear time. Combining with the erasure-conversion algorithm Small-Set-Find (Krishna, Livni-Navon, Wootters, SODA 2024), our result also implies the existence of a novel graph-local linear-time decoder for Pauli errors.

Related

  1. Spatially Coupled MacKay-Neal/Hsu-Anastasopoulos CSS Codes Achieve the Quantum-Erasure Hashing Bound by Seeded BP Decoding
    Kenta Kasai
    arXivPreprintarXiv licenceFull textGeneral mathematicsQuantum physics & quantum informationarXiv
  2. Recovery Models for Linear Batch Codes
    Baran Düzgün, Henk D. L. Hollmann, Ago-Erik Riet +2
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  3. Linear Programming Bounds for Locally Recovery Codes II
    Ming-Hsuan Kang, Maosheng Xiong
    arXivPreprintarXiv licenceFull textCombinatorics & discrete mathematicsarXiv
  4. Explicit strong blocking sets and minimal codes from expander graphs using a new graph parameter
    Anurag Bishnoi, Ioannis Kakatelis
    arXivPreprintCC BY 4.0Full textCombinatorics & discrete mathematicsarXiv
  5. Energy-Time Optimal Decoding Using Expander-Graph LDPC Codes and Mesh Network Architecture
    Christopher Blake
    arXivPreprintCC BY 4.0Full textGeneral mathematicsarXiv
BibTeX
@misc{krishna2026lineartime,
  title = {{Linear-time erasure recovery for quantum expander codes}},
  author = {Anirudh Krishna and Christopher A. Pattison},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.06818},
  eprint = {2611.06818},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.06818},
}
RIS
TY  - UNPB
TI  - Linear-time erasure recovery for quantum expander codes
AU  - Anirudh Krishna
AU  - Christopher A. Pattison
PY  - 2026
DA  - 2026/11/04
PB  - arXiv
DO  - 10.48550/arxiv.2611.06818
UR  - https://arxiv.org/abs/2611.06818
AB  - Erasures are used to model faults at a subset of known locations in various platforms used to construct fault-tolerant quantum computers. Beyond the utility in erasure recovery, efficient decoders for erasures are useful to both understand error decoders and as a subroutine for error decoding. Classical expander codes, which belong to the family of low-density parity-check (LDPC) codes, can be equipped with the Peeling decoder which works in linear time. Our main result is the algorithm Small-Set-Peeling, a quantum generalization of the classical Peeling decoder for erasures, that applies to quantum expander codes (Tillich, Zémor, IEEE T-IT 2013; Leverrier, Tillich, Zémor, FOCS 2015). This decoder can correct up to D−1 erasures, where D is the (design) distance of the code and, importantly, is the first decoder that is guaranteed to do so in linear time. Combining with the erasure-conversion algorithm Small-Set-Find (Krishna, Livni-Navon, Wootters, SODA 2024), our result also implies the existence of a novel graph-local linear-time decoder for Pauli errors.
ER  -