Decoding surface code with a distributed neural network based decoder

There has been a rise in decoding quantum error correction codes with neural network based decoders, due to the good decoding performance achieved and adaptability to any noise model. However, the main challenge is scalability to larger code distances due to an exponential increase of the error synd...

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Veröffentlicht in:	arXiv.org 2019-02
Hauptverfasser:	Varsamopoulos, Savvas, Bertels, Koen, Almudever, Carmen G
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Decoders Decoding Depolarization Error analysis Error correction Neural networks Noise Qubits (quantum computing)
Online-Zugang:	Volltext
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