Structure identification and state initialization of spin networks with limited access

For reliable and consistent quantum information processing carried out on a quantum network, the network structure must be fully known and a desired initial state must be accurately prepared on it. In this paper, for a class of spin networks with only its single node accessible, we provide two conti...

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Bibliographic Details
Published inNew journal of physics Vol. 16; no. 2; pp. 23024 - 19
Main Authors Kato, Yuzuru, Yamamoto, Naoki
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 19.02.2014
Subjects
Accessibility
Adaptive structures
Bayesian analysis
Coherence
Data processing
Graphs
Identification methods
Measurement methods
Measurement techniques
Networks
Physics
Quantum phenomena
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Summary:For reliable and consistent quantum information processing carried out on a quantum network, the network structure must be fully known and a desired initial state must be accurately prepared on it. In this paper, for a class of spin networks with only its single node accessible, we provide two continuous-measurement-based methods to achieve the above requirements; the first identifies the unknown network structure with a high probability, based on a continuous-time Bayesian update of the graph structure and the second is, with the use of an adaptive measurement technique, able to deterministically drive any mixed state to a spin coherent state for network initialization.
Bibliography:Deutsche Physikalische Gesellschaft
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ISSN:1367-2630
1367-2630
DOI:10.1088/1367-2630/16/2/023024