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International Journal of Theoretical Physics

Dynamic Entanglement and Separability Criteria for Quantum Computing Bit States

Hideaki Matsueda, David W. Cohen

Published Jun 11, 2007• 2 citations
Publisher
DOI
10.1007/s10773-007-9432-0

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The unitary group acting on the Hilbert space H:=(C2)⊗3{\cal H}:=(C^2)^{\otimes 3}H:=(C2)⊗3 of three quantum bits admits a Lie subgroup, US3(8)U^{S_3}(8)US3​(8), of elements which permute with the symmetric group of permutations of three objects. Under the action of such a Lie subgroup, the Hilbert space H{\cal H}H splits into three invariant subspaces of dimensions 444, 222 and 222 respectively, each corresponding to an irreducible representation of su(2)su(2)su(2). The subspace of dimension 444 is uniquely determined and corresponds to states that are themselves invariant under the action of the symmetric group. This is the so called {\it symmetric sector.} The subspaces of dimension two are not uniquely determined and we parametrize them all. We provide an analysis of pure states that are in the subspaces invariant under US3(8)U^{S_3}(8)US3​(8). This concerns their entanglement properties, separability criteria and dynamics under the Lie subgroup US3(8)U^{S_3}(8)US3​(8). As a physical motivation for the states and dynamics we study, we propose a physical set-up which consists of a symmetric network of three spin 12\frac{1}{2}21​ particles under a common driving electro-magnetic field. {For such system, we solve the control theoretic problem of driving a separable state to a state with maximal distributed entanglement.
ABSTRACT Quantum entanglement is a fundamental resource in quantum information science. We present three effective separability criteria for arbitrary bipartite quantum states based on the Type‐II discrete cosine transform. The proposed framework unifies and significantly generalizes the computable cross‐norm and realignment criterion (CNNR), the de Vicente criterion, as well as a wide range of existing separability criteria formulated within the Bloch representation framework. Moreover, our approach admits a natural extension to the multipartite setting via the multipartite correlation matrix. Detailed examples demonstrate that our criteria outperform the existing ones in entanglement detection.