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Errors in surface code have typically been decoded by Minimum Weight Perfect Matching (MWPM) based method.
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Raymond Laflamme, Cesar Miquel, Juan Pablo Paz, and Wojciech Hubert Zurek · 1996
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Eric Dennis, Alexei Kitaev, Andrew Landahl, and John Preskill · 2002
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Michael A Nielsen and Isaac Chuang · 2002
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Lev Ioffe and Marc Mézard · 2007
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Austin G Fowler, Ashley M Stephens, and Peter Groszkowski · 2009
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David S Wang, Austin G Fowler, and Lloyd CL Hollenberg · 2011
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Andrew M Childs and Nathan Wiebe · 2012
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The theory of variational hybrid quantum-classical algorithms
Jarrod R McClean, Jonathan Romero, Ryan Babbush, and Alán Aspuru-Guzik · 2016
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Ritajit Majumdar, Saikat Basu, Priyanka Mukhopadhyay, and Susmita Sur-Kolay · 2016
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Decoding small surface codes with feedforward neural networks
Savvas Varsamopoulos, Ben Criger, and Koen Bertels · 2017
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Stefan Krastanov and Liang Jiang · 2017
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Christopher Chamberland and Pooya Ronagh · 2018
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High threshold error correction for the surface code
James R Wootton and Daniel Loss · 2012
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Towards practical classical processing for the surface code
Austin G Fowler, Adam C Whiteside, and Lloyd CL Hollenberg · 2012
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Understanding machine learning: From theory to algorithms
Shai Shalev-Shwartz and Shai Ben-David · 2014
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R. Sweke et al · 2018
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Designing neural network based decoders for surface codes
S. Varsamopoulos et al · 2018
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Machine-learning-assisted correction of correlated qubit errors in a topological code
P Baireuther et al · 2018
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Comparing neural network based decoders for the surface code
Savvas Varsamopoulos, Koen Bertels, and Carmen Garcia Almudever · 2019
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