João P. Moutinho

As discussed with @dominikandreasseitz this requires a bit of a rethinking of how the `QuantumModel` is implemented in Qadence. Changing the `QuantumModel` from a `torch.nn.Module` could also cause compatibility issues...

@Roland-djee @dominikandreasseitz I would say this is not a priority for the current QuantumModel

The goal here is to have a flexible way for the user to specify how a given RX/RY/RZ angle is converted into the drive Hamiltonian, instead of using the currently...

Yeah, maybe, I'm not sure. I played a bit with some changes in the current qadence device MR but that one is already huge. We will have to think a...

This needs to be properly planned from the theory perspective.

This would essentially imply running a symbolic block_to_tensor, computing the kronecker product of all the symbolic matrices to get the larger matrix. Assuming this could be done somewhat efficiently and...

Closing after moving to PyQTorch: https://github.com/pasqal-io/pyqtorch/issues/176

I would work on this once the structure / purpose of the analog blocks is bit cleaner. Alternatively it can be something for @vytautas-a once he has some time from...

Code snippet to save for later: ``` from qadence import * from qadence.blocks import MatrixBlock import torch op_support = (0, 2) lookup_support = (2, 0) # An example operation op_block...

Thanks @EthanObadia. Do you need `MatrixBlock`? This is another pandora's box to be opened...