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20132026
most citedMetrological Detection of Multipartite Entanglement from Young Diagrams

81 citations · 192 across the 11 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

quant-ph2018

Metrological Nonlinear Squeezing Parameter

Manuel Gessner, Augusto Smerzi, Luca Pezzè

The well known metrological linear squeezing parameters (such as quadrature or spin squeezing) efficiently quantify the sensitivity of Gaussian states. Yet, these parameters are in…

physics.atom-ph2018

Motional Fock states for quantum-enhanced amplitude and phase measurements with trapped ions

Fabian Wolf, Chunyan Shi, Jan C. Heip +6

Non-vanishing fluctuations of the vacuum state are a salient feature of quantum theory. These fluctuations fundamentally limit the precision of quantum sensors. Nowadays, several s…

quant-ph2018

Sensitivity Bounds for Multiparameter Quantum Metrology

Manuel Gessner, Luca Pezzè, Augusto Smerzi

We identify precision limits for the simultaneous estimation of multiple parameters in multimode interferometers. Quantum strategies to enhance the multiparameter sensitivity are b…

quant-ph2018

Frequentist and Bayesian Quantum Phase Estimation

Yan Li, Luca Pezzè, Manuel Gessner +2

Frequentist and Bayesian phase estimation strategies lead to conceptually different results on the state of knowledge about the true value of the phase shift. We compare the two fr…

quant-ph2018

Characterizing the multipartite continuous-variable entanglement structure from squeezing coefficients and the Fisher information

Zhongzhong Qin, Manuel Gessner, Zhihong Ren +6

Understanding the distribution of quantum entanglement over many parties is a fundamental challenge of quantum physics and is of practical relevance for several applications in the…

quant-ph2018

Hyper- and hybrid nonlocality

Yanna Li, Manuel Gessner, Weidong Li +1

The controlled generation and identification of quantum correlations, usually encoded in either qubits or continuous degrees of freedom, builds the foundation of quantum informatio…