activity
20102014
most citedGeneral framework for estimating the ultimate precision limit in noisy quantum-enhanced metrology

932 citations · 1.7k across the 7 of their papers we have counts for

collaborators

7 papers

quant-ph2014★ 59 cited

Weak-value amplification as an optimal metrological protocol

G. Bié Alves, B. M. Escher, R. L. de Matos Filho +2

The implementation of weak-value amplification requires the pre- and post-selection of states of a quantum system, followed by the observation of the response of the meter, which i…

quant-ph2012★ 3 cited

Quantum Noise-to-Sensibility Ratio

B. M. Escher

The quantum variables that can be accessed directly by experiments are described by observables. Therefore, physical parameters can only be evaluated indirectly, via estimations ba…

quant-ph2012★ 33 cited

Quantum limit for measurement of a weak classical force coupled to a noisy quantum-mechanical oscillator

C. L. Latune, B. M. Escher, R. L. de Matos Filho +1

Precise measurements of tiny forces and displacements play an important role in science and technology. The precision of recent experiments, while beginning to reach the limits imp…

quant-ph2012★ 512 cited

Quantum speed limit for physical processes

M. M. Taddei, B. M. Escher, L. Davidovich +1

The evaluation of the minimal evolution time between two distinguishable states of a system is important for assessing the maximal speed of quantum computers and communication chan…

quant-ph2012★ 143 cited

Quantum Metrological Limits via a Variational Approach

B. M. Escher, L. Davidovich, N. Zagury +1

The minimum achievable statistical uncertainty in the estimation of physical parameters is determined by the quantum Fisher information. Its computation for noisy systems is still…

quant-ph2012★ 932 cited

General framework for estimating the ultimate precision limit in noisy quantum-enhanced metrology

B. M. Escher, R. L. de Matos Filho, L. Davidovich

The estimation of parameters characterizing dynamical processes is central to science and technology. The estimation error changes with the number N of resources employed in the ex…