Quantum gate design is often represented as pulse optimization, although the physical object is the full controlled evolution generated by the pulse. Researchers at Shaanxi Normal University and Xi’an University of Posts and Telecommunications used physics-informed neural networks to represent single-qubit gate design at the evolution level, learning control fields, Bloch-state trajectories, and total duration together under the Bloch equation.
Shaanxi Normal University Maps Gate Design to Evolution-Level Control
Quantum gate design is often represented as pulse optimization, although the physical object is the full controlled evolution generated by the pulse. Researchers at Shaanxi Normal University and Xi’an University of Posts and Telecommunications used physics-informed neural networks to represent single-qubit gate design at the evolution level, learning control fields, Bloch-state trajectories, and total duration together under the Bloch equation.