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Multiparameter quantum estimation theory in quantum Gaussian states

Lahcen Bakmou, Mohammed Daoud, Rachid ahl laamara

2020Journal of Physics A Mathematical and Theoretical24 citationsDOIOpen Access PDF

Abstract

Abstract Multiparameter quantum estimation theory aims to determine simultaneously the ultimate precision of all parameters contained in the state of a given quantum system. Determining this ultimate precision depends on the quantum Fisher information matrix (QFIM) which is essential to obtaining the quantum Cramér–Rao bound. This is the main motivation of this work which concerns the computation of the analytical expression of the QFIM. Inspired by the results reported in J. Phys. A: Math. Theor. 52 035304 (2019), the general formalism of the multiparameter quantum estimation theory of quantum Gaussian states in terms of their first and second moments is given. We give the analytical formulas of right logarithmic derivative and symmetric logarithmic derivative operators. Then we derive the general expressions of the corresponding quantum Fisher information matrices. We also derive an explicit expression of the condition which ensures the saturation of the quantum Cramér–Rao bound in estimating several parameters. Finally, we examine some examples to clarify the use of our results.

Topics & Concepts

MathematicsQuantum algorithmQuantumQuantum operationLogarithmQuantum phase estimation algorithmGaussianLogarithmic derivativeStatistical physicsQuantum capacityQuantum stateQuantum processQuantum informationFisher informationQuantum error correctionQuantum discordQuantum mechanicsComputationQuantum probabilityFormalism (music)Open quantum systemPhysicsEstimation theoryQuantization (signal processing)Quantum systemExpression (computer science)Quantum computerApplied mathematicsOptimal estimationQuantum Information and CryptographyQuantum Computing Algorithms and ArchitectureQuantum Mechanics and Applications