qml.transforms.expand_invalid_trainable_hadamard_gradient¶
- expand_invalid_trainable_hadamard_gradient(tape, depth=10, **kwargs)¶
Expand out a tape so that it supports differentiation of requested operations with the Hadamard test gradient.
This is achieved by decomposing all trainable operations that are not in the Hadamard compatible list until all resulting operations are in the list up to maximum depth
depth. Note that this might not be possible, in which case the gradient rule will fail to apply.- Parameters
tape (QuantumTape) – the input tape to expand
depth (int) – the maximum expansion depth
**kwargs – additional keyword arguments are ignored
- Returns
the expanded tape
- Return type
code/api/pennylane.transforms.expand_invalid_trainable_hadamard_gradient
Download Python script
Download Notebook
View on GitHub