Optimization with Adam Optimizer

[bmdaj]

Hello guys,

I am trying to run the QForte UCCNVQE algorithm but I am trying to implement it using the Adam optimizer (as in https://pennylane.readthedocs.io/en/stable/code/api/pennylane.AdamOptimizer.html) instead of using the SciPy optimizers.

When I run this to optimize the parameter tamps I get the following error related to the lower level C++ classes:

TypeError: add(): incompatible function arguments. The following argument types are supported:
1. (self: qforte.qforte.SQOpPool, arg0: complex, arg1: qforte.qforte.SQOperator) -> None

Invoked with: , <autograd.numpy.numpy_boxes.ArrayBox object at 0x7ff8fb9c8280>, -1.000000 ( 0^ 2 )
+1.000000 ( 2^ 0 )

As far as I am concerned, this happens because the class SQOperator can only have numbers as inputs (instead of this autograd numpy arrayboxes). Transforming this autograd numpy arrayboxes to numpy arrays seems to break the optimization process so this is not an option.

Any idea on how to make this work?

Thanks a lot.