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Topological quantum computing with a very noisy network and local error rates approaching one percent

Abstract:
A scalable quantum computer could be built by networking together many simple processor cells, thus avoiding the need to create a single complex structure. The difficulty is that realistic quantum links are very error prone. A solution is for cells to repeatedly communicate with each other and so purify any imperfections; however prior studies suggest that the cells themselves must then have prohibitively low internal error rates. Here we describe a method by which even error-prone cells can perform purification: groups of cells generate shared resource states, which then enable stabilization of topologically encoded data. Given a realistically noisy network (≥10% error rate) we find that our protocol can succeed provided that intra-cell error rates for initialisation, state manipulation and measurement are below 0.82%. This level of fidelity is already achievable in several laboratory systems.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/ncomms2773

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Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Role:
Author


Publisher:
Springer Nature
Journal:
Nature Communications More from this journal
Volume:
4
Article number:
1756
Publication date:
2013-04-23
Acceptance date:
2013-03-20
DOI:
EISSN:
2041-1723


Language:
English
Keywords:
Pubs id:
pubs:407656
UUID:
uuid:f5870c2d-1d97-4a8a-ae7e-291d36a39779
Local pid:
pubs:407656
Source identifiers:
407656
Deposit date:
2013-11-17
ARK identifier:

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