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Universal and nonuniversal probability laws in Markovian open quantum dynamics subject to generalized reset processes (2024)
Journal Article

We consider quantum-jump trajectories of Markovian open quantum systems subject to stochastic in time resets of their state to an initial configuration. The reset events provide a partitioning of quantum trajectories into consecutive time intervals,... Read More about Universal and nonuniversal probability laws in Markovian open quantum dynamics subject to generalized reset processes.

Inferring interpretable dynamical generators of local quantum observables from projective measurements through machine learning (2024)
Journal Article

To characterize the dynamical behavior of many-body quantum systems, one is usually interested in the evolution of so-called order parameters rather than in characterizing the full quantum state. In many situations, these quantities coincide with the... Read More about Inferring interpretable dynamical generators of local quantum observables from projective measurements through machine learning.

Dissipative quantum many-body dynamics in (1+1)D quantum cellular automata and quantum neural networks (2023)
Journal Article

Classical artificial neural networks, built from elementary units, possess enormous expressive power. Here we investigate a quantum neural network architecture, which follows a similar paradigm. It is structurally equivalent to so-called (1+1)D quant... Read More about Dissipative quantum many-body dynamics in (1+1)D quantum cellular automata and quantum neural networks.

Mean-field dynamics of open quantum systems with collective operator-valued rates: validity and application (2023)
Journal Article

We consider a class of open quantum many-body Lindblad dynamics characterized by an all-to-all coupling Hamiltonian and by dissipation featuring collective ‘state-dependent’ rates. The latter encodes local incoherent transitions that depend on averag... Read More about Mean-field dynamics of open quantum systems with collective operator-valued rates: validity and application.

Using (1+1)D quantum cellular automata for exploring collective effects in large-scale quantum neural networks (2023)
Journal Article

Central to the field of quantum machine learning is the design of quantum perceptrons and neural network architectures. A key question in this regard is the impact of quantum effects on the way such models process information. Here, we establish a co... Read More about Using (1+1)D quantum cellular automata for exploring collective effects in large-scale quantum neural networks.