Abstract
The evolution, progress, and survival of human civilization depend equally on creation of knowledge and on the dissemination of the created knowledge to the contemporary and future generations.
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This loophole (see, [90, 94, 101] and references therein) refers to the problem arising due to low total detection efficiency in an experiment performed to test the inequality (2.21). One, therefore, assumes in such experiments that the detected pairs of particles is a fair representation of the emitted pairs.
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A criterion applicable to test nonseparability of a mixed states can always be used for pure states as well, but not vice-versa.
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The following demonstration is based upon that given in [134].
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An operator, say, Ω is said to be positive if each of its eigenvalues is real and non-negative. It is denoted as Ω ≥ 0. The expectation value of a positive operator for any state is also positive. If each of the eigenvalues of this operator is strictly greater than zero, then Ω is said to be positive definite. See Appendix A for more details.
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Although, the form of a partially transposed matrix (\(e.g.,{\rho }^{\mbox{ T}_{1}},or{\rho }^{\mbox{ T}_{2}},\) etc) depends on the choice of the bases, its eigenvalues are, however, always independent of the chosen bases.
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Rank of a matrix is equal to the number of its nonzero eigenvalues [132].
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For ρ to represent a product state, it should be possible to write it in the form of (2.39) [or, equivalently, (A.4)].
- 11.
A non-separable state ρ cannot be written in the form of (2.39) [or, equivalently, (A.4)].
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It consists of unitary transformations or (generalized) measurements, say, Ω A and Ω B, performed separately by A and B on their respective qubits of a bipartite state. Such a local transformation/operation is written as Ω A ⊗ Ω B.
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It is the local operations performed in (ii) which have been correlated by classical communications. That is, the parties A and B communicate to each other the results of their measurements on their respective qubits of a shared bipartite state using presently available telecom technologies based on classical information. For more on LOCC see, for example, [126] and references therein.
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A maximally entangled mixed state, on the other hand, is the one [142] which, for a given mixedness, achieves the greatest possible entanglement. See, for example, discussion given on pages 128 and 129.
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The trace norm of a matrix M is defined by (see, e.g., Sect. VI 6 in [158]) \(\parallel M \parallel _{1}\ \equiv \ \mbox{ Tr}\sqrt{M\,{M}^{\dag }}\). Square roots of the eigenvalues of M M † are called singular values of the matrix M. Remembering that the trace of a matrix is always equal to the sum of its eigenvalues, the trace norm of a matrix is, therefore, the sum of its singular values. If M is a Hermitian matrix then, obviously, \(\parallel M \parallel _{1}\ =\sum \, \vert \text{eigenvalues of}\ M\vert \).
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Chandra, N., Ghosh, R. (2013). Quantum Information: Basic Relevant Concepts and Applications. In: Quantum Entanglement in Electron Optics. Springer Series on Atomic, Optical, and Plasma Physics, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24070-6_2
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