Module variational

Variational quantum gates with automatic differentiation support

This module provides variational quantum gates whose parameters can be optimized using gradient-based methods. It includes automatic differentiation for computing parameter gradients efficiently.

Structs

ComputationGraph

Computation graph for reverse-mode autodiff

Dual

Dual number for forward-mode autodiff

HardwareEfficientAnsatz

Hardware-efficient ansatz for VQE

Node

Computation graph node for reverse-mode autodiff

QAOAAnsatz

QAOA (Quantum Approximate Optimization Algorithm) ansatz

QuantumAutoencoder

Quantum autoencoder for data compression and feature learning

VariationalCircuit

Variational quantum circuit with multiple parameterized gates

VariationalGate

Variational quantum gate with autodiff support

VariationalOptimizer

Gradient-based optimizer for variational circuits

VariationalQuantumEigensolver

Variational Quantum Eigensolver (VQE) with improved optimization

Enums

DiffMode

Automatic differentiation mode

Operation

Operations in the computation graph