2008
DOI: 10.1038/nphoton.2008.130
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Robust photonic entanglement distribution by state-independent encoding onto decoherence-free subspace

Abstract: Efficient and faithful implementation of quantum information tasks, e.g., quantum computing, quantum communication and quantum metrology [1,2,3], requires robust and state-independent decoherence-suppressing measures to protect quantum information carriers. Here we present an experimental demonstration of a robust distribution scheme in which one photon of an entangled photon pair is successfully encoded into and decoded from a decoherence-free subspace (DFS) by a state-independent scheme. We achieved a high-f… Show more

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Cited by 61 publications
(57 citation statements)
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“…First, as resources, realization of our scheme requires entangled photon pairs, which can be generated using quantum-dot techniques [81,82] and spontaneous parametric down conversion (SPDC) [83][84][85]. Second, our encoding circuit, inspired and modified from the experimental demonstrated encoding circuit proposed by Pittman et al [77], is thus feasible.…”
Section: Implementation Of the Two-logic-qubit Controlled Phase Gate mentioning
confidence: 99%
“…First, as resources, realization of our scheme requires entangled photon pairs, which can be generated using quantum-dot techniques [81,82] and spontaneous parametric down conversion (SPDC) [83][84][85]. Second, our encoding circuit, inspired and modified from the experimental demonstrated encoding circuit proposed by Pittman et al [77], is thus feasible.…”
Section: Implementation Of the Two-logic-qubit Controlled Phase Gate mentioning
confidence: 99%
“…[20] presents an experimental study on the elimination of single photon phase noise in this way). Then the two pulse trains, which are controlled by optical switch (Pockels cell) at the starting and terminal point as in Fig.…”
Section: Generation Of Elementary Linksmentioning
confidence: 99%
“…An eavesdropper may disguise his action as the channel noise to avoid being detected during the security check by the legitimate communicating parties. Several methods are introduced to reduce the influence of the channel noise, such as quantum error correction code (QECC) [30,31], quantum error rejection [32][33][34][35][36], decoherence-free subspace (DFS) [37][38][39][40][41], entanglement purification [42][43][44][45][46], and so on. Usually, no matter what error model is chosen, the noise in a channel is often referred to as a collective one.…”
Section: Introductionmentioning
confidence: 99%