We consider the problem of estimating multiple phases using a multimode interferometer. In this setting we show that while global strategies that estimate all the phases simultaneously can lead to high precision gains, the same enhancements can be obtained with local strategies in which each phase is estimated individually. A key resource for the enhancement is shown to be a large particle-number variance in the probe state, and for states where the total particle number is not fixed, this can be obtained for mode-separable states, and the phases can be read out with local measurements. This has important practical implications because local strategies are generally preferred to global ones for their robustness to local estimation failure, ...
A quantum theory of multiphase estimation is crucial for quantum-enhanced sensing and imaging and ma...
The simultaneous quantum estimation of multiple parameters can provide a better precision than estim...
Quantum parameter estimation offers solid conceptual grounds for the design of sensors enjoying quan...
We consider the problem of estimating multiple phases using a multi-mode interferometer. In this se...
We consider the problem of estimating multiple phases using a multi-mode interferometer. In this set...
We consider the problem of estimating multiple phases using a multi-mode interferometer. In this set...
Multiphase estimation is a paradigmatic example of a multiparameter problem. When measuring multiple...
A quantum theory of multiphase estimation is crucial for quantum-enhanced sensing and imaging and ma...
Global estimation strategies allow to extract information on a phase or a set of phases without any ...
Multiparameter estimation is a general problem that aims at measuring unknown physical quantities, o...
We introduce a general model for a network of quantum sensors, and we use this model to consider the...
For a fixed average energy, the simultaneous estimation of multiple phases can provide a better tota...
We study the simultaneous estimation of multiple phases as a discretized model for the imaging of a ...
Quantum metrology aims to exploit quantum phenomena to overcome classical limitations in the estimat...
Careful tailoring the quantum state of probes offers the capability of investigating matter at unpre...
A quantum theory of multiphase estimation is crucial for quantum-enhanced sensing and imaging and ma...
The simultaneous quantum estimation of multiple parameters can provide a better precision than estim...
Quantum parameter estimation offers solid conceptual grounds for the design of sensors enjoying quan...
We consider the problem of estimating multiple phases using a multi-mode interferometer. In this se...
We consider the problem of estimating multiple phases using a multi-mode interferometer. In this set...
We consider the problem of estimating multiple phases using a multi-mode interferometer. In this set...
Multiphase estimation is a paradigmatic example of a multiparameter problem. When measuring multiple...
A quantum theory of multiphase estimation is crucial for quantum-enhanced sensing and imaging and ma...
Global estimation strategies allow to extract information on a phase or a set of phases without any ...
Multiparameter estimation is a general problem that aims at measuring unknown physical quantities, o...
We introduce a general model for a network of quantum sensors, and we use this model to consider the...
For a fixed average energy, the simultaneous estimation of multiple phases can provide a better tota...
We study the simultaneous estimation of multiple phases as a discretized model for the imaging of a ...
Quantum metrology aims to exploit quantum phenomena to overcome classical limitations in the estimat...
Careful tailoring the quantum state of probes offers the capability of investigating matter at unpre...
A quantum theory of multiphase estimation is crucial for quantum-enhanced sensing and imaging and ma...
The simultaneous quantum estimation of multiple parameters can provide a better precision than estim...
Quantum parameter estimation offers solid conceptual grounds for the design of sensors enjoying quan...