Efficient optimisation of multi-parameter quantum control protocols for strongly-coupled systems

TL;DR

This paper introduces an efficient gradient-based optimization framework combining automatic differentiation with non-Markovian algorithms to improve quantum control protocols in solid-state systems, achieving high fidelities and robustness.

Contribution

The authors develop a novel optimization method that integrates automatic differentiation with non-Markovian algorithms, enabling direct optimization of complex quantum control objectives.

Findings

Optimized multi-pulse schemes achieve high fidelities within accessible parameters.

Adiabatic rapid passage enhances the performance of control protocols.

Optimized protocols outperform standard methods, especially at higher temperatures.

Abstract

Achieving high-fidelity control in the presence of strong non-Markovian noise is critical for the optimization of emergent solid-state quantum devices. We present a highly efficient optimization framework that combines automatic differentiation with the non-Markovian uniTEMPO algorithm, enabling direct gradient-based optimization of complex objective functions. We apply this method to semiconductor quantum dots, optimizing multi-pulse excitation schemes: specifically Swing-UP of a Quantum EmmiteR (SUPER) and Floquet-engineered Two-Photon Excitation (FTPE) for single- and bi-exciton generation. Our approach yields high preparation fidelities within experimentally accessible parameter regimes. By integrating adiabatic rapid passage (ARP), we systematically enhance both SUPER and FTPE, demonstrating that these optimized protocols consistently outperform standard resonant pi-pulses and two-photon excitation. Notably, this performance gap widens at elevated temperatures, establishing the superior thermal robustness of our optimized multi-pulse strategies for real-world quantum hardware.