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Blossom V: a new implementation of a minimum cost perfect matching algorithm
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Citations
Cites
Edmonds, J. (1965) · Canadian Journal of Mathematics · doi:10.4153/cjm-1965-045-4 · Cited by 2,428
Triangle: Engineering a 2D quality mesh generator and Delaunay triangulator
Shewchuk, J. R. (1996) · Lecture Notes in Computer Science · doi:10.1007/bfb0014497 · Cited by 2,115
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Realization of an Error-Correcting Surface Code with Superconducting Qubits
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“In order to do so, we map the Ising Hamiltonian on the square grid to a MWPM problem [92], run the Blossom V algorithm [91] to determine the solution to the MWPM problem, and finally map the solution of the MWPM problem to a ground state of the Ising Hamiltonian.”
MethodDecoding across the quantum low-density parity-check code landscape
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Sparse blossom: correcting a million errors per core second with minimum-weight matching
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PyMatching: A Python Package for Decoding Quantum Codes with Minimum-Weight Perfect Matching
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The pitfalls of planar spin-glass benchmarks: raising the bar for quantum annealers (again)
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High-performance repetition cat code using fast noisy operations
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Practical Quantum Error Correction with the XZZX Code and Kerr-Cat Qubits
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Metadata
- Authors
- Kolmogorov, V.
- Venue
- Mathematical Programming Computation
- Published
- 2009-04-21
- Volume
- 1
- Issue
- 1
- Pages
- 43-67
- ISSN
- 1867-2949 (ISSN-L)
- 1867-2957
- OpenAlex
- W2164424155
- Cited by
- 414
- References
- 2
- FWCI
- 14.49
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
