Hey, Is there a way to pass iterable arguments to the qnode, where the cost and/or ansatz is redefined for each instance of the problem? Ex 1: import pennylane as qml from pennylane import numpy as np N = 2 dev = qml.device(‘forest.numpy_wavefunction’, wires=N) @qml.qnode(dev) def qaoa_one_q…

Passing non-differentiable arguments to qnode

SreeramV181 June 7, 2019, 7:09pm 14

How do I install this on my command line?

Gradient Not Working Because of Keyword Arguments