Author

Lin Zhang

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Preprint Jul 2026

Evolution-Level Quantum Optimal Control of Single-Qubit Gates with Physics-Informed Neural Networks

This work uses physics-informed neural networks to represent single-qubit gate design at this evolution level: the control fields, the Bloch-state trajectories, and the total duration are learned together under the Bloch equation.

Yao Du, Jianlin Cheng, Lin Zhang et al. · 0 citations