An augmented neural ODE framework learns single-qubit states and time-dependent dissipation parameters from simulated weak-measurement data, and supports PD and LQR feedback control.
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Quantum Filtering and Stabilization of Dissipative Quantum Systems via Augmented Neural Ordinary Differential Equations
An augmented neural ODE framework learns single-qubit states and time-dependent dissipation parameters from simulated weak-measurement data, and supports PD and LQR feedback control.