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    A quantum neural network computes its own relative phase

    Date
    2013-04-17
    Author
    Behrman, Elizabeth C.
    Steck, James E.
    Metadata
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    Citation
    Behrman, E.C.; Steck, J.E., "A quantum neural network computes its own relative phase," Swarm Intelligence (SIS), 2013 IEEE Symposium on , vol., no., pp.119-124, 16-19 April 2013 doi: 10.1109/SIS.2013.6615168
    Abstract
    Complete characterization of the state of a quantum system made up of subsystems requires determination of relative phase, because of interference effects between the subsystems. For a system of qubits used as a quantum computer this is especially vital, because the entanglement, which is the basis for the quantum advantage in computing, depends intricately on phase. We present here a first step towards that determination, in which we use a two-qubit quantum system as a quantum neural network, which is trained to compute and output its own relative phase.
    Description
    Click on the DOI link to access this conference paper (may not be free).
    URI
    http://dx.doi.org/10.1109/SIS.2013.6615168
    http://hdl.handle.net/10057/10595
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    • AE Research Publications
    • PHY Research Publications (from 2011)

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