Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Neural Decoder for Topological Codes   We present an algorithm for error correction in topological codes that
exploits modern machine learning techniques. Our decoder is constructed from a
stochastic neural network called a Boltzmann machine, of the type extensively
used in deep learning. We provide a general prescription for the training of
the network and a decoding strategy that is applicable to a wide variety of
stabilizer codes with very little specialization. We demonstrate the neural
decoder numerically on the well-known two dimensional toric code with
phase-flip errors.

28
The categories of this paper are: alg-geom
32
The categories of this paper are: atom-ph
1
The categories of this paper are: cs
30
The categories of this paper are: q-alg
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The categories of this paper are: comp-gas
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The categories of this paper are: q-fin
2
The categories of this paper are: math
8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
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The categories of this paper are: funct-an
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The categories of this paper are: dg-ga
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The categories of this paper are: patt-sol
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The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
31
The categories of this paper are: ao-sci