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The Minimum-Weight Perfect Matching (MWPM) decoder is widely used in Quantum Error Correction (QEC) decoding.
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W. Cook and A. Rohe, “Computing minimum-weight perfect matchings,” INFORMS journal on computing , 1999
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V. Kolmogorov, “Blossom V: a new implementation of a minimum cost perfect matching algorithm,” Mathematical Programming Computation , 2009
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B. Dezső, A. Jüttner, and P. Kovács, “LEMON–an open source C++ graph template library,” Electronic Notes in Theoretical Computer Science , 2011
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A. G. Fowler, A. C. Whiteside, and L. C. Hollenberg, “Towards practical classical processing for the surface code: Timing analysis,” Physical Review A , 2012
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2013
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B. M. Terhal, “Quantum error correction for quantum memories,” Reviews of Modern Physics , 2015
2015
Cited alongside, same era.
N. Delfosse and G. Zémor, “Linear-time maximum likelihood decoding of surface codes over the quantum erasure channel,” Physical Review Research , vol. 2, no. 3, p. 033042, 2020
2020
Cited alongside, same era.
A. Holmes, M. R. Jokar, G. Pasandi, Y. Ding, M. Pedram, and F. T. Chong, “NISQ+: Boosting quantum computing power by approximating quantum error correction,” in 2020 ACM/IEEE 47th Annual International Symposium on Computer Architecture (ISCA) . IEEE, 2020
2020
Cited alongside, same era.
S. Huang, M. Newman, and K. R. Brown, “Fault-tolerant weighted union-find decoding on the toric code,” Physical Review A , 2020
2020
Cited alongside, same era.
N. Delfosse and N. H. Nickerson, “Almost-linear time decoding algorithm for topological codes,” Quantum , 2021
2022
Later among the works it cites.
Y. Wu, S. Kolkowitz, S. Puri, and J. D. Thompson, “Erasure conversion for fault-tolerant quantum computing in alkaline earth rydberg atom arrays,” Nature communications , 2022
2022
Later among the works it cites.
2022
Later among the works it cites.
2022
Later among the works it cites.
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2021
Cited alongside, same era.
S.-s. Lee, Y. Yu, Y. Tang, A. Khandelwal, L. Zhong, and A. Bhattacharjee, “MIND: In-network memory management for disaggregated data centers,” in Proc. ACM SIGOPS Symposium on Operating Systems Principles , 2021
2021
Cited alongside, same era.
Y. Ueno, M. Kondo, M. Tanaka, Y. Suzuki, and Y. Tabuchi, “QECOOL: On-line quantum error correction with a superconducting decoder for surface code,” in 2021 58th ACM/IEEE Design Automation Conference (DAC) . IEEE, 2021
2021
Cited alongside, same era.
P. Das, C. A. Pattison, S. Manne, D. M. Carmean, K. M. Svore, M. Qureshi, and N. Delfosse, “AFS: Accurate, fast, and scalable error-decoding for fault-tolerant quantum computers,” in 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA) . IEEE, 2022
2022
Cited alongside, same era.
2022
Cited alongside, same era.
2022
Cited alongside, same era.
“Fusion Blossom: a fast minimum-weight perfect matching (MWPM) solver for quantum error correction (QEC).” [Online]. Available: https://github.com/yale-paragon/fusion-blossom
Cited in the paper.
“Python binding of Fusion Blossom library.” [Online]. Available: https://pypi.org/project/fusion-blossom
Cited in the paper.
——, “QULATIS: A quantum error correction methodology toward lattice surgery,” in 2022 IEEE International Symposium on High-Performance Computer Architecture (HPCA) . IEEE, 2022
2022
Later among the works it cites.
2023
Closest in time.
2023
Closest in time.
“Suppressing quantum errors by scaling a surface code logical qubit,” Nature , 2023
2023
Closest in time.
2023
Closest in time.
G. S. Ravi, J. Baker, A. Fayyazi, S. Lin, A. Javadi-Abhari, M. Pedram, and F. Chong, “Better than worst-case decoding for quantum error correction,” Bulletin of the American Physical Society , 2023
2023
Closest in time.