Index

A

Adam (class in quantum_debugger.qml.optimizers)

B

beh2_hamiltonian() (in module quantum_debugger.qml.hamiltonians.molecular)

C

COBYLAOptimizer (class in quantum_debugger.qml.optimizers) compare_optimizers() (in module quantum_debugger.qml.optimizers) compute_gradients() (in module quantum_debugger.qml.utils.gradients)

compute_metric_tensor() (quantum_debugger.qml.optimizers.QuantumNaturalGradient method) cost_function() (quantum_debugger.qml.algorithms.qaoa.QAOA method) (quantum_debugger.qml.algorithms.vqe.VQE method)

E

exact_ground_state() (quantum_debugger.qml.algorithms.vqe.VQE method)

excitation_preserving() (in module quantum_debugger.qml.ansatz)

F

finite_difference_gradient() (in module quantum_debugger.qml.utils.gradients)

G

get_gradient_norms() (quantum_debugger.qml.training.QuantumTrainer method) get_ground_state_energy() (in module quantum_debugger.qml.hamiltonians.molecular) get_loss_history() (quantum_debugger.qml.training.QuantumTrainer method) get_molecule_hamiltonian() (in module quantum_debugger.qml.hamiltonians.molecular) get_molecule_info() (in module quantum_debugger.qml.hamiltonians.molecular)

get_optimizer() (in module quantum_debugger.qml.optimizers) gradient (quantum_debugger.qml.gates.parameterized.ParameterizedGate attribute) gradient_descent_step() (in module quantum_debugger.qml.utils.gradients) GradientDescent (class in quantum_debugger.qml.optimizers) graph (quantum_debugger.qml.algorithms.qaoa.QAOA attribute)

H

h2_hamiltonian() (in module quantum_debugger.qml.hamiltonians.molecular)

h2o_hamiltonian() (in module quantum_debugger.qml.hamiltonians.molecular) hardware_efficient_ansatz() (in module quantum_debugger.qml.ansatz)

L

LBFGSBOptimizer (class in quantum_debugger.qml.optimizers)

lih_hamiltonian() (in module quantum_debugger.qml.hamiltonians.molecular)

M

matrix() (quantum_debugger.qml.gates.parameterized.ParameterizedGate method) (quantum_debugger.qml.gates.parameterized.RXGate method) (quantum_debugger.qml.gates.parameterized.RYGate method) (quantum_debugger.qml.gates.parameterized.RZGate method) minimize() (quantum_debugger.qml.optimizers.COBYLAOptimizer method) (quantum_debugger.qml.optimizers.LBFGSBOptimizer method) (quantum_debugger.qml.optimizers.NelderMeadOptimizer method) (quantum_debugger.qml.optimizers.SPSA method)

module quantum_debugger.qml.algorithms.qaoa quantum_debugger.qml.algorithms.vqe quantum_debugger.qml.ansatz quantum_debugger.qml.gates.parameterized quantum_debugger.qml.hamiltonians.molecular quantum_debugger.qml.optimizers quantum_debugger.qml.training quantum_debugger.qml.utils.gradients

N

name (quantum_debugger.qml.gates.parameterized.ParameterizedGate attribute)

NelderMeadOptimizer (class in quantum_debugger.qml.optimizers) num_qubits (quantum_debugger.qml.algorithms.qaoa.QAOA attribute)

P

p (quantum_debugger.qml.algorithms.qaoa.QAOA attribute) parameter (quantum_debugger.qml.gates.parameterized.ParameterizedGate attribute)

parameter_shift_gradient() (in module quantum_debugger.qml.utils.gradients) ParameterizedGate (class in quantum_debugger.qml.gates.parameterized)

Q

QAOA (class in quantum_debugger.qml.algorithms.qaoa) quantum_debugger.qml.algorithms.qaoa module quantum_debugger.qml.algorithms.vqe module quantum_debugger.qml.ansatz module quantum_debugger.qml.gates.parameterized module

quantum_debugger.qml.hamiltonians.molecular module quantum_debugger.qml.optimizers module quantum_debugger.qml.training module quantum_debugger.qml.utils.gradients module QuantumNaturalGradient (class in quantum_debugger.qml.optimizers) QuantumTrainer (class in quantum_debugger.qml.training)

R

real_amplitudes() (in module quantum_debugger.qml.ansatz) run() (quantum_debugger.qml.algorithms.qaoa.QAOA method) (quantum_debugger.qml.algorithms.vqe.VQE method)

RXGate (class in quantum_debugger.qml.gates.parameterized) RYGate (class in quantum_debugger.qml.gates.parameterized) RZGate (class in quantum_debugger.qml.gates.parameterized)

S

SPSA (class in quantum_debugger.qml.optimizers) step() (quantum_debugger.qml.optimizers.Adam method) (quantum_debugger.qml.optimizers.GradientDescent method) (quantum_debugger.qml.optimizers.QuantumNaturalGradient method) (quantum_debugger.qml.optimizers.SPSA method)

strongly_entangling() (in module quantum_debugger.qml.ansatz)

T

target (quantum_debugger.qml.gates.parameterized.ParameterizedGate attribute) train() (quantum_debugger.qml.training.QuantumTrainer method)

trainable (quantum_debugger.qml.gates.parameterized.ParameterizedGate attribute) two_local() (in module quantum_debugger.qml.ansatz)

V

VQE (class in quantum_debugger.qml.algorithms.vqe)