37 citations · 102 across the 7 of their papers we have counts for
7 papers
Probabilistic metrology or how some measurement outcomes render ultra-precise estimates
J. Calsamiglia, B. Gendra, R. Munoz-Tapia +1
We show on theoretical grounds that, even in the presence of noise, probabilistic measurement strategies (which have a certain probability of failure or abstention) can provide, up…
Probabilistic metrology defeats ultimate deterministic bound
J. Calsamiglia, B. Gendra, R. Munoz-Tapia +1
Quantum-enhanced measurements exploit quantum mechanical effects to provide ultra-precise estimates of physical variables for use in advanced technologies, such as frequency calibr…
Probabilistic Metrology Attains Macroscopic Cloning of Quantum Clocks
B. Gendra, J. Calsamiglia, R. Munoz-Tapia +2
It has been recently shown that probabilistic protocols based on postselection boost the performances of phase estimation and the replication of quantum clocks. Here we demonstrate…
Optimal parameter estimation with a fixed rate of abstention
B. Gendra, E. Ronco-Bonvehi, J. Calsamiglia +2
The problems of optimally estimating a phase, a direction, and the orientation of a Cartesian frame (or trihedron) with general pure states are addressed. Special emphasis is put o…
Decomposition of any quantum measurement into extremals
G. Sentís, B. Gendra, S. D. Bartlett +1
We design an efficient and constructive algorithm to decompose any generalized quantum measurement into a convex combination of extremal measurements. We show that if one allows fo…
Quantum Metrology Assisted with Abstention
B. Gendra, E. Ronco-Bonvehi, J. Calsamiglia +2
The main goal of quantum metrology is to obtain accurate values of physical parameters using quantum probes. In this context, we show that abstention, i.e., the possibility of gett…
Beating noise with abstention in state estimation
Bernat Gendra, Elio Ronco-Bonvehi, John Calsamiglia +2
We address the problem of estimating pure qubit states with non-ideal (noisy) measurements in the multiple-copy scenario, where the data consists of a number N of identically prepa…