Owen L
Owen L
For the full tutorial rewrite, would it be good to incorporate the tools from Qiskit nature, or is the goal for these to just use the 'base' Qiskit?
I don't see any matching versions of TFQ requirements on TF and TFF requirements. However, it is a little surprising they don't work since their requirements are only off by...
TFQ main and TFF 0.41.0 both have 2.11.0 requirements. But I'm not sure if the latest changes in TFQ are stable yet, so enter at your own risk (see https://github.com/tensorflow/quantum/issues/757)
I'm not sure if any easy way, it you isolate the breaking points (which are probably minor since the versions are off by just 0.0.1) in TFF you could changed...
This is similar to https://github.com/tensorflow/quantum/issues/712, it doesn't like tensors are parameters for cirq. Any other updates on this issue?
Why make them as different TFQ layers? If you do circuit H1 then circuit H2 you can just combine them in cirq then use one PQC
I'm not sure I understand your issue. First, it is worth noting that you can get the gradients with respect to different parts of the circuit within a single PQC....
You should just be able to get certain indices (or sets of indices) (which I believe calls getitem not slice), right? Just make sure to keep in mind, TFQ reorders...
I'm not really sure what the question is, just copy the model setup over and create a classical to quantum data conversion function and you should be good to go
Yes, you can save and load weights the same as other TF models