Almost-linear time decoding algorithm for topological codes

In order to build a large scale quantum computer, one must be able to correct errors extremely fast. We design a fast decoding algorithm for topological codes to correct for Pauli errors and erasure and combination of both errors and erasure. Our algorithm has a worst case complexity of O ( n α ( n...

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Bibliographic Details
Published in:Quantum (Vienna, Austria) Vol. 5; p. 595
Main Authors: Delfosse, Nicolas, Nickerson, Naomi H.
Format: Journal Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 02.12.2021
ISSN:2521-327X, 2521-327X
Online Access:Get full text
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Summary:In order to build a large scale quantum computer, one must be able to correct errors extremely fast. We design a fast decoding algorithm for topological codes to correct for Pauli errors and erasure and combination of both errors and erasure. Our algorithm has a worst case complexity of O ( n α ( n ) ) , where n is the number of physical qubits and α is the inverse of Ackermann's function, which is very slowly growing. For all practical purposes, α ( n ) ≤ 3 . We prove that our algorithm performs optimally for errors of weight up to ( d − 1 ) / 2 and for loss of up to d − 1 qubits, where d is the minimum distance of the code. Numerically, we obtain a threshold of 9.9 % for the 2d-toric code with perfect syndrome measurements and 2.6 % with faulty measurements.
ISSN:2521-327X
2521-327X
DOI:10.22331/q-2021-12-02-595