Tailoring Non-Gaussian Continuous-Variable Graph States - Sorbonne Université
Article Dans Une Revue Physical Review Letters Année : 2018

Tailoring Non-Gaussian Continuous-Variable Graph States

Mattia Walschaers
Valentina Parigi
Nicolas Treps
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Résumé

Graph states are the backbone of measurement-based continuous-variable quantum computation. However, experimental realisations 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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Dates et versions

hal-01953748 , version 1 (13-12-2018)

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Mattia Walschaers, Supratik Sarkar, Valentina Parigi, Nicolas Treps. Tailoring Non-Gaussian Continuous-Variable Graph States. Physical Review Letters, 2018, 121 (22), pp.220501. ⟨10.1103/PhysRevLett.121.220501⟩. ⟨hal-01953748⟩
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