2021
DOI: 10.48550/arxiv.2110.05334
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Optimizing quantum control pulses with complex constraints and few variables through Tensorflow

Yao Song,
Junning Li,
Yong-Ju Hai
et al.

Abstract: Applying optimal control algorithms on realistic quantum systems confronts two key challenges: to efficiently adopt physical constraints in the optimization and to minimize the variables for the convenience of experimental tune-ups. In order to resolve these issues, we propose a novel algorithm by incorporating multiple constraints into the gradient optimization over piece-wise pulse constant values, which are transformed to contained numbers of the finite Fourier basis for bandwidth control. Such complex cons… Show more

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