Realigning random states
Abstract
We study how the realignment criterion (also called computable cross-norm criterion) succeeds asymptotically in detecting whether random states are separable or entangled. We consider random states on d d obtained by partial tracing a Haar-distributed random pure state on d d s over an ancilla space s. We show that, for large d, the realignment criterion typically detects entanglement if and only if s ≤ (8/3π)2 d2. In this sense, the realignment criterion is asymptotically weaker than the partial transposition criterion.
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