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Efficient growth of complex graph states via imperfect path erasure

Abstract:
Given a suitably large and well connected (complex) graph state, any quantum algorithm can be implemented purely through local measurements on the individual qubits. Measurements can also be used to create the graph state: path erasure techniques allow one to entangle multiple qubits by determining only global properties of the qubits. Here, this powerful approach is extended by demonstrating that even imperfect path erasure can produce the required graph states with high efficiency. By characterizing the degree of error in each path erasure attempt, one can subsume the resulting imperfect entanglement into an extended graph state formalism. The subsequent growth of the improper graph state can be guided, through a series of strategic decisions, in such a way as to bound the growth of the error and eventually yield a high-fidelity graph state. As an implementation of these techniques, we develop an analytic model for atom (or atom-like) qubits in mismatched cavities, under the double-heralding entanglement procedure of Barrett and Kok (2005 Phys. Rev. A 71 060310). Compared to straightforward post-selection techniques our protocol offers a dramatic improvement in growing complex high-fidelity graph states.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1088/1367-2630/9/6/196

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Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Materials
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author
More by this author
Institution:
University of Oxford
Role:
Author


Publisher:
IOP Publishing
Journal:
New Journal of Physics More from this journal
Volume:
9
Issue:
6
Article number:
196
Publication date:
2007-06-01
DOI:
EISSN:
1367-2630
ISSN:
1367-2630


Pubs id:
8288
UUID:
uuid:19b9739f-76e5-4dee-a8d4-0a67d75a95cc
Local pid:
pubs:8288
Source identifiers:
8288
Deposit date:
2012-12-19
ARK identifier:

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