1999
DOI: 10.1103/physrevlett.83.1054
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Separability of Very Noisy Mixed States and Implications for NMR Quantum Computing

Abstract: We give a constructive proof that all mixed states of N qubits in a sufficiently small neighborhood of the maximally mixed state are separable. The construction provides an explicit representation of any such state as a mixture of product states. We give upper and lower bounds on the size of the neighborhood, which show that its extent decreases exponentially with the number of qubits. We also discuss the implications of the bounds for NMR quantum computing.

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Cited by 548 publications
(570 citation statements)
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“…This indicates that some states in that Hilbert subspace are separable. Braunstein et al [17] analyzed the separability of N -qubit states near the maximally mixed state. Vidal and Tarrach [18] give a separability boundary for the mixture of the maximally mixed state with a pure state.…”
Section: Concurrence Surface and Entanglement Edgementioning
confidence: 99%
“…This indicates that some states in that Hilbert subspace are separable. Braunstein et al [17] analyzed the separability of N -qubit states near the maximally mixed state. Vidal and Tarrach [18] give a separability boundary for the mixture of the maximally mixed state with a pure state.…”
Section: Concurrence Surface and Entanglement Edgementioning
confidence: 99%
“…First, an effective-pure GHZ state was prepared [82], and later a similar experiment was done with seven spins [39]. The claim of having created entangled states was later refuted based on the fact that spins at room temperature are too mixed to be entangled [83]. GHZ correlations have since been further studied on mixed states [84].…”
Section: Other Quantum Protocolsmentioning
confidence: 99%
“…One objection [72] was that liquid state NMR systems at room temperature could not produce entanglement -Schrodinger's "characteristic trait of quantum mechanics" [73] -and are therefore not quantum in the real sense of the word. To challenge that idea, Knill and Laflamme [74,75] came up with an algorithm which is specifically tailored to NMR systems.…”
Section: Dqc1mentioning
confidence: 99%