Index A | B | C | D | F | G | L | M | N | O | P | Q | R | S | T | U | X | Y A Adam (class in skqulacs.qnn.solver) add_CNOT_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_H_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_input_RX_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_input_RY_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_input_RZ_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_parametric_input_RX_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_parametric_input_RY_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_parametric_input_RZ_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_parametric_multi_Pauli_rotation_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_parametric_RX_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_parametric_RY_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_parametric_RZ_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_RX_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_RY_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_RZ_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_X_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_Y_gate() (skqulacs.circuit.circuit.LearningCircuit method) add_Z_gate() (skqulacs.circuit.circuit.LearningCircuit method) B backprop() (skqulacs.circuit.circuit.LearningCircuit method) backprop_inner_product() (skqulacs.circuit.circuit.LearningCircuit method) batch_size (skqulacs.dataloader.DataLoader attribute) Bfgs (class in skqulacs.qnn.solver) C callback (skqulacs.qnn.solver.Adam attribute) circuit (skqulacs.qnn.classifier.QNNClassifier attribute) (skqulacs.qnn.regressor.QNNRegressor attribute) conving() (skqulacs.qnn.generation.QNNGeneretor method) cost (skqulacs.qnn.classifier.QNNClassifier attribute) (skqulacs.qnn.regressor.QNNRegressor attribute) cost_func() (skqulacs.qnn.classifier.QNNClassifier method) (skqulacs.qnn.generation.QNNGeneretor method) (skqulacs.qnn.regressor.QNNRegressor method) create_dqn_cl() (in module skqulacs.circuit.pre_defined) create_dqn_cl_no_cz() (in module skqulacs.circuit.pre_defined) create_farhi_neven_ansatz() (in module skqulacs.circuit.pre_defined) create_farhi_neven_watle_ansatz() (in module skqulacs.circuit.pre_defined) create_ibm_embedding_circuit() (in module skqulacs.circuit.pre_defined) create_multi_qubit_param_rotational_ansatz() (in module skqulacs.circuit.pre_defined) create_npqc_ansatz() (in module skqulacs.circuit.pre_defined) create_qcl_ansatz() (in module skqulacs.circuit.pre_defined) create_qcnn_ansatz() (in module skqulacs.circuit.pre_defined) create_shirai_ansatz() (in module skqulacs.circuit.pre_defined) create_yzcx_ansatz() (in module skqulacs.circuit.pre_defined) D DataLoader (class in skqulacs.dataloader) do_x_scale (skqulacs.qnn.classifier.QNNClassifier attribute) (skqulacs.qnn.regressor.QNNRegressor attribute) do_y_scale (skqulacs.qnn.regressor.QNNRegressor attribute) F fit() (skqulacs.qkrr.qkrr.QKRR method) (skqulacs.qnn.classifier.QNNClassifier method) (skqulacs.qnn.generation.QNNGeneretor method) (skqulacs.qnn.regressor.QNNRegressor method) (skqulacs.qsvm.qsvc.QSVC method) (skqulacs.qsvm.qsvr.QSVR method) fit_direct_distribution() (skqulacs.qnn.generation.QNNGeneretor method) fitting_qubit (skqulacs.qnn.classifier.QNNClassifier attribute) func_grad() (skqulacs.qnn.regressor.QNNRegressor method) G get_circuit_depth() (skqulacs.circuit.circuit.LearningCircuit method) get_circuit_info() (skqulacs.circuit.circuit.LearningCircuit method) get_parameters() (skqulacs.circuit.circuit.LearningCircuit method) GradientDescent (class in skqulacs.qnn.solver) L LearningCircuit (class in skqulacs.circuit.circuit) M manyclass (skqulacs.qnn.classifier.QNNClassifier attribute) module skqulacs skqulacs.circuit skqulacs.circuit.circuit skqulacs.circuit.pre_defined skqulacs.dataloader skqulacs.qkrr skqulacs.qkrr.qkrr skqulacs.qnn skqulacs.qnn.classifier skqulacs.qnn.generation skqulacs.qnn.regressor skqulacs.qnn.solver skqulacs.qsvm skqulacs.qsvm.qsvc skqulacs.qsvm.qsvr skqulacs.save N n_iter_no_change (skqulacs.qnn.solver.Adam attribute) n_outputs (skqulacs.qnn.regressor.QNNRegressor attribute) n_qubit (skqulacs.circuit.circuit.LearningCircuit attribute) (skqulacs.qnn.classifier.QNNClassifier attribute) (skqulacs.qnn.regressor.QNNRegressor attribute) NelderMead (class in skqulacs.qnn.solver) num_class (skqulacs.qnn.classifier.QNNClassifier attribute) O observables (skqulacs.qnn.classifier.QNNClassifier attribute) (skqulacs.qnn.regressor.QNNRegressor attribute) observables_str (skqulacs.qnn.regressor.QNNRegressor attribute) P predict() (skqulacs.qkrr.qkrr.QKRR method) (skqulacs.qnn.classifier.QNNClassifier method) (skqulacs.qnn.generation.QNNGeneretor method) (skqulacs.qnn.regressor.QNNRegressor method) (skqulacs.qsvm.qsvc.QSVC method) (skqulacs.qsvm.qsvr.QSVR method) Q QKRR (class in skqulacs.qkrr.qkrr) QNNClassifier (class in skqulacs.qnn.classifier) QNNGeneretor (class in skqulacs.qnn.generation) QNNRegressor (class in skqulacs.qnn.regressor) QSVC (class in skqulacs.qsvm.qsvc) QSVR (class in skqulacs.qsvm.qsvr) R restore() (in module skqulacs.save) run() (skqulacs.circuit.circuit.LearningCircuit method) (skqulacs.qnn.solver.Adam method) (skqulacs.qnn.solver.Bfgs method) (skqulacs.qnn.solver.GradientDescent method) (skqulacs.qnn.solver.NelderMead method) (skqulacs.qnn.solver.Solver method) run_x_no_change() (skqulacs.circuit.circuit.LearningCircuit method) S save() (in module skqulacs.save) seed (skqulacs.dataloader.DataLoader attribute) shuffle (skqulacs.dataloader.DataLoader attribute) skqulacs module skqulacs.circuit module skqulacs.circuit.circuit module skqulacs.circuit.pre_defined module skqulacs.dataloader module skqulacs.qkrr module skqulacs.qkrr.qkrr module skqulacs.qnn module skqulacs.qnn.classifier module skqulacs.qnn.generation module skqulacs.qnn.regressor module skqulacs.qnn.solver module skqulacs.qsvm module skqulacs.qsvm.qsvc module skqulacs.qsvm.qsvr module skqulacs.save module Solver (class in skqulacs.qnn.solver) solver (skqulacs.qnn.classifier.QNNClassifier attribute) (skqulacs.qnn.regressor.QNNRegressor attribute) T tolerance (skqulacs.qnn.solver.Adam attribute) U update_parameters() (skqulacs.circuit.circuit.LearningCircuit method) X x (skqulacs.dataloader.DataLoader attribute) x_norm_range (skqulacs.qnn.classifier.QNNClassifier attribute) (skqulacs.qnn.regressor.QNNRegressor attribute) x_scaler (skqulacs.qnn.classifier.QNNClassifier attribute) (skqulacs.qnn.regressor.QNNRegressor attribute) Y y (skqulacs.dataloader.DataLoader attribute) y_exp_ratio (skqulacs.qnn.classifier.QNNClassifier attribute) y_norm_range (skqulacs.qnn.regressor.QNNRegressor attribute) y_scaler (skqulacs.qnn.regressor.QNNRegressor attribute)