most citedNon-Markovianity Hierarchy of Gaussian Processes and Quantum Amplification

17 citations · 18 across the 2 of their papers we have counts for

collaborators

6 papers

quant-ph2017

Energy-efficient quantum frequency estimation

Pietro Liuzzo-Scorpo, Luis A. Correa, Felix A. Pollock +3

The problem of estimating the frequency of a two-level atom in a noisy environment is studied. Our interest is to minimise both the energetic cost of the protocol and the statistic…

quant-ph2017

Noisy frequency estimation with noisy probes

Agnieszka Górecka, Felix A. Pollock, Pietro Liuzzo-Scorpo +3

We consider frequency estimation in a noisy environment with noisy probes. This builds on previous studies, most of which assume that the initial probe state is pure, while the enc…

quant-ph2017

Multiparameter Gaussian Quantum Metrology

Rosanna Nichols, Pietro Liuzzo-Scorpo, Paul A. Knott +1

We investigate the ultimate precision achievable in Gaussian quantum metrology. We derive general analytical expressions for the quantum Fisher information matrix and for the measu…

quant-ph2017★ 1 cited

Optimal secure quantum teleportation of coherent states of light

Pietro Liuzzo-Scorpo, Gerardo Adesso

We investigate quantum teleportation of ensembles of coherent states of light with a Gaussian distributed displacement in phase space. Recently, the following general question has…

quant-ph2017

Optimal continuous variable quantum teleportation with limited resources

Pietro Liuzzo-Scorpo, Andrea Mari, Vittorio Giovannetti +1

Given a certain amount of entanglement available as a resource, what is the most efficient way to accomplish a quantum task? We address this question in the relevant case of contin…

quant-ph2016★ 17 cited

Non-Markovianity Hierarchy of Gaussian Processes and Quantum Amplification

Pietro Liuzzo-Scorpo, Wojciech Roga, Leonardo A. M. Souza +2

We investigate dynamics of Gaussian states of continuous variable systems under Gaussianity preserving channels. We introduce a hierarchy of such evolutions encompassing Markovian,…