Optimized entanglement for quantum parameter estimation from noisy qubits
arXiv:1904.01904 · doi:10.1142/S0219749918500569
Abstract
For parameter estimation from an -component composite quantum system, it is known that a separable preparation leads to a mean-squared estimation error scaling as while an entangled preparation can in some conditions afford a smaller error with scaling. This quantum superefficiency is however very fragile to noise or decoherence, and typically disappears with any small amount of random noise asymptotically at large . To complement this asymptotic characterization, we characterize how the estimation efficiency evolves as a function of the size of the entangled system and its degree of entanglement. We address a generic situation of qubit phase estimation, also meaningful for frequency estimation. Decoherence is represented by the broad class of noises commuting with the phase rotation, which includes depolarizing, phase-flip, and thermal quantum noises. In these general conditions, explicit expressions are derived for the quantum Fisher information quantifying the ultimate achievable efficiency for estimation. We confront at any size the efficiency of the optimal separable preparation to that of an entangled preparation with arbitrary degree of entanglement. We exhibit the superefficiency with no noise, and prove its asymptotic disappearance at large for any non-vanishing noise configuration. For maximizing the estimation efficiency, we characterize the existence of an optimum of the size of the entangled system along with an optimal degree of entanglement. For nonunital noises, maximum efficiency is usually obtained at partial entanglement. Grouping the qubits into independent blocks formed of entangled qubits restores at large a nonvanishing efficiency that can improve over that of independent qubits optimally prepared. One inactive qubit in the entangled probe sometimes is most efficient for estimation.
23 pages, 8 figures, 40 references
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