Comparative study of monotonically convergent optimization algorithms for the control of molecular rotation

TL;DR

This paper compares two monotonically convergent optimization algorithms applied to quantum control of molecular rotation, demonstrating their effectiveness in achieving specific molecular orientation and alignment goals under various temperature conditions.

Contribution

It introduces and evaluates two specific optimization algorithms for controlling molecular rotational dynamics with laser pulses, addressing non-linear quantum interactions.

Findings

Both algorithms successfully control molecular orientation and alignment.

The methods are validated at zero and non-zero temperatures.

The algorithms show high accuracy and reliability in quantum control tasks.

Abstract

We apply two different monotonically convergent optimization algorithms to the control of molecular rotational dynamics by laser pulses. This example represents a quantum control problem where the interaction of the system with the external field is non-linear. We test the validity and accuracy of the two methods on the key control targets of producing molecular orientation and planar delocalization at zero temperature, and maximizing permanent alignment at non-zero temperature.