A physics-informed neural network pretrained on coordinated quantum optimal control pulses can interpolate continuous quantum gate families faster and can be recalibrated from a few reference pulses.
Variational quantum algorithms,
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Using optimal control to guide neural-network interpolation of continuously-parameterized gates
A physics-informed neural network pretrained on coordinated quantum optimal control pulses can interpolate continuous quantum gate families faster and can be recalibrated from a few reference pulses.