Module variational_algorithms 

Variational Quantum Algorithms for Machine Learning

This module implements various variational quantum algorithms including VQE, QAOA, and VQC with hardware-optimized circuits and gradient computation.

Structs

AdamOptimizer

Adam optimizer implementation

Hamiltonian

Hamiltonian representation for VQE

HardwareEfficientAnsatz

Hardware-efficient ansatz

MolecularHamiltonian

Molecular Hamiltonian representation

ParameterizedQuantumCircuit

Placeholder for parameterized quantum circuit

PauliTerm

Pauli term in Hamiltonian

QAOA

Quantum Approximate Optimization Algorithm (QAOA)

QAOAConfig

QAOA configuration

QAOAProblem

QAOA problem representation

QAOAResult

QAOA optimization result

QAOASolution

QAOA solution representation

QuantumState

Quantum state representation

VQE

Variational Quantum Eigensolver (VQE) implementation

VQEConfig

VQE configuration

VQEResult

VQE optimization result

Enums

EntanglingGateType

PauliOperator

Pauli operators

QuantumGate

Traits

VariationalAnsatz

Variational ansatz trait

VariationalOptimizer

Trait for variational optimizers

Functions

create_molecular_vqe

Create a VQE instance for molecular simulation