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20242026
most citedQuantum model reduction for continuous-time quantum filters

2 citations · 4 across the 9 of their papers we have counts for

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6 papers · 1 filter

cs.LG2025

Context-Selective State Space Models: Feedback is All You Need

Riccardo Zattra, Giacomo Baggio, Umberto Casti +2

Transformers, powered by the attention mechanism, are the backbone of most foundation models, yet they suffer from quadratic complexity and difficulties in dealing with long-range…

quant-ph2025

Reconstructing Quantum States and Expectations via Dynamical Tomography

Marco Peruzzo, Tommaso Grigoletto, Francesco Ticozzi

When the dynamics of a quantum system of interest is known, an informationally-complete set of observables is not needed for state reconstruction via tomographic techniques: lettin…

math.OC2025

Obtaining Structural Network Controllability with Higher-Order Local Dynamics

Marco Peruzzo, Giacomo Baggio, Francesco Ticozzi

We consider a network of identical, first-order linear systems, and investigate how replacing a subset of the systems composing the network with higher-order ones, either taken to…

eess.SY2025

Finding Conditions for Target Controllability under Christmas Trees

Marco Peruzzo, Giacomo Baggio, Francesco Ticozzi

This paper presents new graph-theoretic conditions for structural target controllability of directed networks. After reviewing existing conditions and highlighting some gaps in the…

quant-ph2025★ 1 cited

Reconstructing Quantum States from Local Observation: A Dynamical Viewpoint

Marco Peruzzo, Tommaso Grigoletto, Francesco Ticozzi

We analyze the problem of reconstructing an unknown quantum state of a multipartite system from repeated measurements of local observables. In particular, via a system-theoretic ob…

quant-ph2025★ 2 cited

Quantum model reduction for continuous-time quantum filters

Tommaso Grigoletto, Clément Pellegrini, Francesco Ticozzi

The use of quantum stochastic models is widespread in dynamical reduction, simulation of open systems, feedback control and adaptive estimation. In many applications only part of t…