2006
DOI: 10.1103/physreva.73.062337
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Asymptotic adaptive bipartite entanglement-distillation protocol

Abstract: We present an asymptotic bipartite entanglement-distillation protocol that outperforms all existing asymptotic schemes. This protocol is based on the breeding protocol with the incorporation of two-way classical communication. Like breeding, the protocol starts with an infinite number of copies of a Bell-diagonal mixed state. Breeding can be carried out as successive stages of partial information extraction, yielding the same result: one bit of information is gained at the cost ͑measurement͒ of one pure Bell s… Show more

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Cited by 26 publications
(33 citation statements)
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“…Protocols with improved yield (by optimizing the information gain of the measurements) have been developed in Ref. [102].…”
Section: Hashing Protocol For Two-colorable Graphs Statesmentioning
confidence: 99%
“…Protocols with improved yield (by optimizing the information gain of the measurements) have been developed in Ref. [102].…”
Section: Hashing Protocol For Two-colorable Graphs Statesmentioning
confidence: 99%
“…[12] for CSS states. Again, we define a class of local Clifford operations that distribute the information content of multiple noisy copies of a stabilizer state without destroying the tensor product, i.e.…”
Section: Introductionmentioning
confidence: 99%
“…they transform multiple copies of a pure stabilizer state into multiple copies of the same stabilizer state. Breeding, contrary to hashing [12], starts from k noisy copies of an n-qubit stabilizer state and a pool of (1 − γ)k predistilled pure copies of the same state, where k is considered large (asymptotic protocol). After the local Clifford operations, we locally measure the (1 − γ)k initially pure copies, yielding information on the global state.…”
Section: Introductionmentioning
confidence: 99%
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“…This work is also closely related to entanglement purification protocols (EPP) [19,20,21,22,23], procedures by which two parties can extract pure-state entanglement out of some …”
Section: Introductionmentioning
confidence: 99%