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Update cost functions to support more flexible optimizer functionality. #204

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@albi3ro

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@albi3ro

Since PennyLane PR #959 optimizers can accept cost functions with non-trainable data, multiple trainable parameters, and keywords. Our demos should reflect this flexibility, instead of using lambda functions and other workarounds.

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demosUpdating the demonstrations/tutorials

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