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feat: support flexible output type of qnn #182

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Zhaoyilunnn opened this issue Jul 9, 2024 · 0 comments

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Zhaoyilunnn commented Jul 9, 2024 •

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Currently, the implementation of quantum neural network only support getting expectation values for each qubit in Z basis

code: https://github.com/ScQ-Cloud/pyquafu/blob/master/quafu/algorithms/gradients/vjp.py#L71

We should expose this to users and let them customize qnn output, for example, we need to allow users to set state vector as the output

support strided measurements

Zhaoyilunnn added the enhancement label

Zhaoyilunnn self-assigned this

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