Data-driven control of a single-qubit system based on unitary evolution reconstruction
Abstract
We present a data-driven framework for controlling a single qubit based on experimental data, without requiring explicit Hamiltonian models. Two modeling approaches are studied. The indirect approach identifies an affine model of the qubit dynamics and employs it for control design, while the direct approach uses a Hankel matrix representation to generate feasible control actions directly from recorded trajectories. We provide stability guarantees and verify both formulations in simulation, demonstrating that data-driven predictive control can effectively steer a qubit to the desired target state under input constraints.
Fields of Study & Subjects
Advanced Control Systems Optimization
Control Systems and Identification
Quantum Information and Cryptography
Publication details
- Journal / source
- IFAC Journal of Systems and Control
- Volume
- 35
- Pages
- 100377–100377
- Publication date
- 3 February 2026
- Language
- EN