PennyLane Help

About the PennyLane Help category (2)
Batching Inputs to Quantum Circuit (10)
Measuring execution time (2)
Pytorch interface for models (6)
Module 'pennylane' has no attribute 'NumberOperator' (5)
Correctness of function _flatten(x) in in pennylane\ (9)
ValueError: Cannot differentiate wrt parameter(s) {2} (2)
How to call opt.step function with two vars sets (4)
State preparation ansatz (2)
ValueError: p > 1 when playing with the numbers of shots (8)
AmplitudeEmbedding (7)
Regression example using tf eager (4)
Recurrent Networks? (5)
Variables in quantum neural network (2)
AttributeError: module 'pennylane' has no attribute 'CRX' (2)
What does setting the noisy=True flag do? (the detailed version...) (2)
Control Rotation Gate (2)
Speeding up grad computation ( 2 ) (25)
Grad computations equation (3)
Backward function takes long and batches (2)
Upper and lower bounds of trace (10)
Cost functions: Multiple wire measurements + backends for Hermitians (9)
Gradient Not Working Because of Keyword Arguments (6)
Passing non-differentiable arguments to qnode (14)
Clarification on background knowledge (3)
Gradients of quantum node (2)
Mixing PyQuil and PennyLane code (5)
Trace of the state for CV QNodes (4)
Scaling variables inside QNode quantum operations (4)
Feature embedding in CV QNodes (4)