The statistical error in any estimation can be reduced by repeating the measurement and averaging the results. The central limit theorem implies that the reduction is proportional to the square root of the number of repetitions. Quantum metrology is the use of quantum techniques such as entanglement to yield higher statistical precision than purely classical approaches. In this Review, we analyse some of the most promising recent developments of this research field and point out some of the new experiments. We then look at one of the major new trends of the field: analyses of the effects of noise and experimental imperfections
Quantum metrology has many important applications in science and technology, ranging from frequency ...
Quantum metrology, which studies parameter estimation in quantum systems, has many applications in s...
Quantum metrology has many important applications in science and technology, ranging from frequency ...
In classical estimation theory, the central limit theorem implies that the statistical error in a me...
The statistical error in any estimation can be reduced by repeating the measurement and averaging th...
The statistical error in any estimation can be reduced by repeating the measurement and averaging th...
The statistical error in any estimation can be reduced by repeating the measurement and averaging th...
Quantum metrology is a vividly developing topic of current research in both theoretical and experime...
Quantum metrology has many important applications in science and technology, ranging from frequency ...
We apply the classical data-processing inequality to quantum metrology to show that manipulating the...
Questions about quantum limits on measurement precision were once viewed from the perspective of how...
We show on theoretical grounds that, even in the presence of noise, probabilistic measurement strate...
Probabilistic metrology attempts to improve parameter estimation by occasionally reporting an excell...
We consider quantum metrology in noisy environments, where the effect of noise and decoherence limit...
The simultaneous quantum estimation of multiple parameters can provide a better precision than estim...
Quantum metrology has many important applications in science and technology, ranging from frequency ...
Quantum metrology, which studies parameter estimation in quantum systems, has many applications in s...
Quantum metrology has many important applications in science and technology, ranging from frequency ...
In classical estimation theory, the central limit theorem implies that the statistical error in a me...
The statistical error in any estimation can be reduced by repeating the measurement and averaging th...
The statistical error in any estimation can be reduced by repeating the measurement and averaging th...
The statistical error in any estimation can be reduced by repeating the measurement and averaging th...
Quantum metrology is a vividly developing topic of current research in both theoretical and experime...
Quantum metrology has many important applications in science and technology, ranging from frequency ...
We apply the classical data-processing inequality to quantum metrology to show that manipulating the...
Questions about quantum limits on measurement precision were once viewed from the perspective of how...
We show on theoretical grounds that, even in the presence of noise, probabilistic measurement strate...
Probabilistic metrology attempts to improve parameter estimation by occasionally reporting an excell...
We consider quantum metrology in noisy environments, where the effect of noise and decoherence limit...
The simultaneous quantum estimation of multiple parameters can provide a better precision than estim...
Quantum metrology has many important applications in science and technology, ranging from frequency ...
Quantum metrology, which studies parameter estimation in quantum systems, has many applications in s...
Quantum metrology has many important applications in science and technology, ranging from frequency ...