We obtain the optimal quantum Fisher information for parameters in time-dependent Hamiltonians, and show proper Hamiltonian control is generally necessary to optimize the Fisher information.

If optimal feedback control is a useful computational theory for describing volitional motor control, it might also be valuable for interpreting the neural basis of volitional motor control.

Topics will include representation learning, supervised and unsupervised learning, optimal control and estimation, and reinforcement learning. The course will consist of a combination of lectures and ...

Optimal control theory is explored, shedding light on decision-making processes in various fields.

A modified version of an Extended Kalman Filter (EKF) is applied to calculate optimal estimation gain according to the stochastic properties of the combustion phasing measurement at the corresponding ...