PennyLane Help


About the PennyLane Help category (2)
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)
Speeding up grad computation (8)
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)
Displacement gate input (3)
AND Circuit Learning (2)
Qnode decorator on a class method doesn't work (3)
When does autograd need help? (9)
Gradient decent (2)
Adjoint Operators for Non-Gaussian Gates (3)
Displaced squeezed state (3)
State preparation (2)
Multiclass Classification with Variational Circuits (6)