Acceleration of quantum optimal control theory algorithms with mixing strategies

Acceleration of quantum optimal control theory algorithms with mixing strategies.

We propose the use of mixing strategies to accelerate the convergence of the common iterative algorithms utilized in quantum optimal control theory (QOCT). We show how the nonlinear equations of QOCT can be viewed as a "fixed-point" nonlinear problem. The iterative algorithms for this class of problems may benefit from mixing strategies, as it happens, e.g., in the quest for the ground-state de...

Quantum optimal control theory

The control of quantum dynamics via specially tailored laser pulses is a longstanding goal in physics and chemistry. Partly, this dream has come true, as sophisticated pulse-shaping experiments allow us to coherently control product ratios of chemical reactions. The theoretical design of the laser pulse to transfer an initial state to a given final state can be achieved with the help of quantum...

Quantum Computing and Optimal Control Theory

Theory of optimal algorithms

INVESTIGATION OF THE OPTIMAL SEMI-ACTIVE CONTROL STRATEGIES OF ADJACENT BUILDINGS CONNECTED WITH MAGNETORHEOLOGICAL DAMPERS

This study investigates the efficacy of optimal semi-active dampers for achieving the best results in seismic response mitigation of adjacent buildings connected to each other by magnetorheological (MR) dampers under earthquakes. One of the challenges in the application of this study is to develop an effective optimal control strategy that can fully utilize the capabilities of the MR dampers. H...