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20032026
most citedModeling and Control of Quantum Systems: An Introduction

251 citations · 906 across the 52 of their papers we have counts for

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Showing 2013 · quant-phShow all

6 papers · 2 filters

quant-ph2013★ 2 cited

Exact and approximate solutions for the quantum minimum-Kullback-entropy estimation problem

Carlo Sparaciari, Stefano Olivares, Francesco Ticozzi +1

The minimum Kullback entropy principle (mKE) is a useful tool to estimate quantum states and operations from incomplete data and prior information. In general, the solution of a mK…

quant-ph2013★ 2 cited

Extending robustness & randomization from Consensus to Symmetrization Algorithms

Luca Mazzarella, Francesco Ticozzi, Alain Sarlette

This work interprets and generalizes consensus-type algorithms as switching dynamics leading to symmetrization of some vector variables with respect to the actions of a finite grou…

quant-ph2013

Optimal Binary Codes and Measurements for Classical Communication over Qubit Channels

Nicola Dalla Pozza, Nicola Laurenti, Francesco Ticozzi

We propose constructive approaches for the optimization of binary classical communication over a general noisy qubit quantum channel, for both the error probability and the classic…

quant-ph2013

Steady-State Entanglement by Engineered Quasi-Local Markovian Dissipation

Francesco Ticozzi, Lorenza Viola

We characterize and construct time-independent Markovian dynamics that drive a finite-dimensional multipartite quantum system into a target (pure) entangled steady state, subject t…

quant-ph2013★ 54 cited

Consensus for Quantum Networks: From Symmetry to Gossip Iterations

Luca Mazzarella, Alain Sarlette, Francesco Ticozzi

This paper extends the consensus framework, widely studied in the literature on distributed computing and control algorithms, to networks of quantum systems. We define consensus si…

quant-ph2013

Minimum Relative Entropy for Quantum Estimation: Feasibility and General Solution

Mattia Zorzi, Francesco Ticozzi, Augusto Ferrante

We propose a general framework for solving quantum state estimation problems using the minimum relative entropy criterion. A convex optimization approach allows us to decide the fe…