Quantum metrology studies estimation of physical parameters using quantum states, evolution and measurements. A parameter changes the probe state; the measurement outcome distribution carries information about that change.
For independent comparable probes, uncertainty often scales as . Entangled states can improve scaling under suitable ideal resource assumptions, but losses, decoherence and the allowed preparation and measurement operations matter. Quoting an enhanced sensitivity requires identifying what counts as a resource and which noise model is being compared. Quantum Fisher information bounds the attainable local precision under specified estimation assumptions.
The Quantum Fisher information measures the local sensitivity of a parametrized density matrix . The symmetric logarithmic derivative satisfies , and .
For independent preparations, a locally unbiased estimator obeys under the usual regularity assumptions. For a pure family , . A state with definite acquires only a global phase and has zero information about ; a superposition can have observable relative-phase sensitivity.[ref]
For a differentiable family of density matrices , the symmetric logarithmic derivative is a Hermitian operator satisfying
If , its determined matrix entries are whenever . Entries wholly in the kernel are undetermined when a solution exists and do not affect . Rank-changing boundary points need extra care.
For , , one gets and Quantum Fisher information . This recovers ordinary Fisher information for a binary observation. In noncommuting families the symmetrized equation supplies the operator version needed to quantify local sensitivity.[ref]

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Quantum metrology is a field of science that utilizes principles from quantum mechanics to improve the precision and accuracy of measurements. It leverages quantum phenomena, such as superposition and entanglement, to enhance measurement sensitivity beyond what is possible with classical techniques. The core idea of quantum metrology is to use quantum states of light or matter to probe physical systems with greater precision.