Quantum optimal control, a toolbox for devising and implementing the shapes of external
fields that accomplish given tasks in the operation of a quantum device in the best way …

In this work, we demonstrate how physical principles—such as symmetries, invariances and
conservation laws—can be integrated into the dynamic mode decomposition (DMD). DMD is …

The Koopman operator has entered and transformed many research areas over the last
years. Although the underlying concept—representing highly nonlinear dynamical systems …

Efficient methods for the simulation of quantum circuits on classic computers are crucial for
their analysis due to the exponential growth of the problem size with the number of qubits …

Koopman operator theory has been successfully applied to problems from various research
areas such as fluid dynamics, molecular dynamics, climate science, engineering, and …

Reliable numerical computation of quantum dynamics is a fundamental challenge when the
long-ranged quantum entanglement plays essential roles as in the cases governed by …

A critical engineering challenge in quantum technology is the accurate control of quantum
dynamics. Model-based methods for optimal control have been shown to be highly effective …

This paper presents a sequence of two approaches for the data-driven control-oriented
modeling of networked systems, ie, the systems that involve many interacting dynamical …

We address the use of neural networks (NNs) in classifying the environmental parameters of
single-qubit dephasing channels. In particular, we investigate the performance of linear …

We consider finite-dimensional many-body quantum systems described by time-
independent Hamiltonians and Markovian master equations, and present a systematic …