Publication | Open Access
Tailoring Non-Gaussian Continuous-Variable Graph States
51
Citations
37
References
2018
Year
Mathematical ProgrammingEngineeringNetwork AnalysisGraph Signal ProcessingQuantum ComputingQuantum Optimization AlgorithmQuantum EntanglementGraph StatesProbabilistic Graph TheoryPhotonicsQuantum SciencePhysicsNon-gaussian FeaturesQuantum AlgorithmQuantum InformationGraph TheoryNatural SciencesQuantum CommunicationGraph AnalysisQuantum NetworkingGaussian Measurement StatisticsQuantum Algorithms
Graph states are the backbone of measurement-based continuous-variable quantum computation. However, experimental realizations of these states induce Gaussian measurement statistics for the field quadratures, which poses a barrier to obtain a genuine quantum advantage. In this Letter, we propose mode-selective photon addition and subtraction as viable and experimentally feasible pathways to introduce non-Gaussian features in such continuous-variable graph states. In particular, we investigate how the non-Gaussian properties spread among the vertices of the graph, which allows us to show the degree of control that is achievable in this approach.
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