PennyLane Help
About the PennyLane Help category
(2)
Recurrent Networks?
(5)
Regression example using tf eager
(1)
How to call opt.step function with two vars sets
(4)
Variables in quantum neural network
(2)
AttributeError: module 'pennylane' has no attribute 'CRX'
(2)
AmplitudeEmbedding
(5)
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)
Pytorch interface for models
(5)
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)
Batching Inputs to Quantum Circuit
(2)
Trace of the state for CV QNodes
(4)
Scaling variables inside QNode quantum operations
(4)
Feature embedding in CV QNodes
(4)
Optimizing state overlap / multi-qubit qml.expval.Hermitian()
(7)
Measurement in neural network
(3)
Regression using qubits
(4)
Access quantum state at any point of the circuit
(2)
QuantumFunctionError
(2)
Optimization error
(2)
next page →