An entanglement monotone derived from Grover's algorithm
Abstract
This paper demonstrates that how well a state performs as an input to Grover's search algorithm depends critically upon the entanglement present in that state; the more entanglement, the less well the algorithm performs. More precisely, suppose we take a pure state input, and prior to running the algorithm apply local unitary operations to each qubit in order to maximize the probability Pmax that the search algorithm succeeds. We prove that, for pure states, Pmax is an entanglement monotone, in the sense that Pmax can never be decreased by local operations and classical communication.
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