Automated Optimization of Laser Fields for Quantum State Manipulation

TL;DR

This paper introduces a gradient-based, automatic differentiation method for optimizing laser control fields in quantum systems, enabling precise, scalable, and experimentally feasible state manipulation without relying on traditional analytical or manual tuning approaches.

Contribution

The authors develop a universal, automated framework for quantum control pulse design that outperforms standard methods like STIRAP in complex scenarios.

Findings

Reliable transfer to target quantum states with minimal intermediate occupation

Control pulses are smooth and physically implementable

Framework is scalable and adaptable to high-dimensional systems

Abstract

A gradient-based optimization approach combined with automatic differentiation is employed to ensure high accuracy and scalability when working with high-dimensional parameter spaces. Numerical simulations confirm the effectiveness of the proposed method: the population is reliably transferred to the target state with minimal occupation of intermediate levels, while the control pulses remain smooth and physically implementable. The developed framework serves as a universal and experimentally applicable tool for automated control pulse design in quantum systems. It is particularly useful in scenarios where analytical methods or manual parameter tuning--such as standard schemes like STIRAP--prove to be inefficient or inapplicable.