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      Proposal for demonstration of long-range cluster state entanglement in the presence of photon loss

      , , ,
      APL Photonics
      AIP Publishing

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          Quantum Computation and Quantum Information

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            Persistent entanglement in arrays of interacting particles

            We study the entanglement properties of a class of \(N\) qubit quantum states that are generated in arrays of qubits with an Ising-type interaction. These states contain a large amount of entanglement as given by their Schmidt measure. They have also a high {\em persistency of entanglement} which means that \(\sim N/2\) qubits have to be measured to disentangle the state. These states can be regarded as an entanglement resource since one can generate a family of other multi-particle entangled states such as the generalized GHZ states of \(
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              Measurement-based quantum computation with cluster states

              , , (2003)
              We give a detailed account of the one-way quantum computer, a scheme of quantum computation that consists entirely of one-qubit measurements on a particular class of entangled states, the cluster states. We prove its universality, describe why its underlying computational model is different from the network model of quantum computation and relate quantum algorithms to mathematical graphs. Further we investigate the scaling of required resources and give a number of examples for circuits of practical interest such as the circuit for quantum Fourier transformation and for the quantum adder. Finally, we describe computation with clusters of finite size.
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                Author and article information

                Journal
                APL Photonics
                APL Photonics
                AIP Publishing
                2378-0967
                June 2017
                June 2017
                : 2
                : 6
                : 066103
                Article
                10.1063/1.4983822
                06f15998-8f19-42b1-a603-2facdb7b7346
                © 2017
                History

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