Index A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | S | T | X | Y A add_CNOT_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_H_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_input_RX_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_input_RY_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_input_RZ_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_parametric_input_RX_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_parametric_input_RY_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_parametric_input_RZ_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_parametric_multi_Pauli_rotation_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_parametric_RX_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_parametric_RY_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_parametric_RZ_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_RX_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_RY_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_RZ_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_X_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_Y_gate() (scikit_quri.circuit.circuit.LearningCircuit method) add_Z_gate() (scikit_quri.circuit.circuit.LearningCircuit method) ansatz (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) B backprop_inner_product() (scikit_quri.circuit.circuit.LearningCircuit method) backprop_innner_product() (scikit_quri.circuit.circuit.LearningCircuit method) BaseEstimator (class in scikit_quri.backend.base_estimator) BaseGradientEstimator (class in scikit_quri.backend.base_gradient_estimator) BaseQSV (class in scikit_quri.qsvm.base_qsv) BatchedSimEstimator (class in scikit_quri.backend.base_estimator) binary_search_perplexity() (scikit_quri.qnn.kernel_tsne.TSNE method) bind_input_and_parameters() (scikit_quri.circuit.circuit.LearningCircuit method) C calc_all_qula_states() (scikit_quri.qnn.kernel_tsne.overlap_estimator method) calc_fidelity() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) calc_fidelity_all() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) calc_grad() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) calc_loss() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) calc_loss_grad() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) calc_probabilities_p() (scikit_quri.qnn.kernel_tsne.TSNE method) calc_probabilities_p_from_fidelity() (scikit_quri.qnn.kernel_tsne.TSNE method) calc_probabilities_p_state() (scikit_quri.qnn.kernel_tsne.TSNE method) calc_probabilities_q() (scikit_quri.qnn.kernel_tsne.TSNE method) calc_y() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) cdist() (scikit_quri.qnn.kernel_tsne.TSNE method) circuit (scikit_quri.circuit.circuit.LearningCircuit attribute) CNOT() (in module scikit_quri.circuit.pre_defined) concurrent_sample() (scikit_quri.backend.oqtopus_sampler.OqtopusSampler method) cost_f() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) cost_fn() (scikit_quri.qnn.regressor.QNNRegressor method) cost_func() (scikit_quri.qnn.classifier.QNNClassifier method) (scikit_quri.qnn.generation.QNNGenerator method) cost_func_grad() (scikit_quri.qnn.classifier.QNNClassifier method) create_dqn_cl() (in module scikit_quri.circuit.pre_defined) create_dqn_cl_no_cz() (in module scikit_quri.circuit.pre_defined) create_farhi_neven_ansatz() (in module scikit_quri.circuit.pre_defined) create_ibm_embedding_circuit() (in module scikit_quri.circuit.pre_defined) create_oqtopus_concurrent_sampler() (in module scikit_quri.backend.oqtopus_sampler) create_oqtopus_sampler() (in module scikit_quri.backend.oqtopus_sampler) create_overlap_circuit() (scikit_quri.state.overlap_estimator.OverlapEstimator method) create_qcl_ansatz() (in module scikit_quri.circuit.pre_defined) create_qcnn_ansatz() (in module scikit_quri.circuit.pre_defined) CZ() (in module scikit_quri.circuit.pre_defined) D default_gaussian_mixture_kernel() (in module scikit_quri.qnn.generation) do_x_scale (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) do_y_scale (scikit_quri.qnn.regressor.QNNRegressor attribute) E estimate() (scikit_quri.backend.base_estimator.BaseEstimator method) (scikit_quri.backend.oqtopus_estimator.OqtopusEstimator method) (scikit_quri.state.overlap_estimator.OverlapEstimator method) estimate_batched() (scikit_quri.backend.base_estimator.BatchedSimEstimator method) estimate_concurrent() (scikit_quri.state.overlap_estimator.OverlapEstimator method) estimate_grad_batched() (scikit_quri.backend.base_estimator.BatchedSimEstimator method) estimate_gradient() (scikit_quri.backend.base_gradient_estimator.BaseGradientEstimator method) (scikit_quri.backend.oqtopus_gradient_estimator.OqtopusGradientEstimator method) (scikit_quri.backend.sim_gradient_estimator.SimGradientEstimator method) estimate_learning_param_gradient() (scikit_quri.backend.base_gradient_estimator.BaseGradientEstimator method) (scikit_quri.backend.oqtopus_gradient_estimator.OqtopusGradientEstimator method) (scikit_quri.backend.sim_gradient_estimator.SimGradientEstimator method) estimator (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) F fidelity_cross() (in module scikit_quri.qnn.kernel_tsne) fidelity_gram() (in module scikit_quri.qnn.kernel_tsne) fit() (scikit_quri.qkrr.qkrr.QKRR method) (scikit_quri.qnn.classifier.QNNClassifier method) (scikit_quri.qnn.generation.QNNGenerator method) (scikit_quri.qnn.regressor.QNNRegressor method) (scikit_quri.qsvm.base_qsv.BaseQSV method) fit_direct_distribution() (scikit_quri.qnn.generation.QNNGenerator method) G generate_bound_params() (scikit_quri.circuit.circuit.LearningCircuit method) generate_X_train_state() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) get() (scikit_quri.qnn.kernel_tsne.pqc_f_helper method) get_device_qubit_count() (scikit_quri.backend.oqtopus_sampler.OqtopusSampler method) get_input_params_indexes() (scikit_quri.circuit.circuit.LearningCircuit method) get_learning_param_grad_aggregators() (scikit_quri.circuit.circuit.LearningCircuit method) get_learning_params_indexes() (scikit_quri.circuit.circuit.LearningCircuit method) get_minimum_learning_param_indexes() (scikit_quri.circuit.circuit.LearningCircuit method) grad_fn() (scikit_quri.qnn.regressor.QNNRegressor method) gradient_estimator (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) H hadamard_gradient() (scikit_quri.circuit.circuit.LearningCircuit method) I init() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) input_param (scikit_quri.backend.oqtopus_gradient_estimator.LearningCircuitParameter attribute), [1] input_params_count (scikit_quri.circuit.circuit.LearningCircuit property) input_quantum_state() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) J joint_probabilities() (scikit_quri.qnn.kernel_tsne.TSNE method) K kldiv() (scikit_quri.qnn.kernel_tsne.TSNE method) L learning_param (scikit_quri.backend.oqtopus_gradient_estimator.LearningCircuitParameter attribute), [1] learning_params_count (scikit_quri.circuit.circuit.LearningCircuit property) LearningCircuit (class in scikit_quri.circuit.circuit) LearningCircuitParameter (class in scikit_quri.backend.oqtopus_gradient_estimator) M mean_squared_error() (in module scikit_quri.qnn.regressor) module scikit_quri scikit_quri.backend.base_estimator scikit_quri.backend.base_gradient_estimator scikit_quri.backend.oqtopus_estimator scikit_quri.backend.oqtopus_gradient_estimator scikit_quri.backend.oqtopus_sampler scikit_quri.backend.sim_estimator scikit_quri.backend.sim_gradient_estimator scikit_quri.circuit.circuit scikit_quri.circuit.pre_defined scikit_quri.qkrr.qkrr scikit_quri.qnn.classifier scikit_quri.qnn.generation scikit_quri.qnn.kernel_tsne scikit_quri.qnn.regressor scikit_quri.qsvm.base_qsv scikit_quri.state.overlap_estimator N n_outputs (scikit_quri.qnn.regressor.QNNRegressor attribute) n_qubit (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) n_qubits (scikit_quri.circuit.circuit.LearningCircuit attribute) num_class (scikit_quri.qnn.classifier.QNNClassifier attribute) numerical_gradient_estimates() (in module scikit_quri.backend.oqtopus_gradient_estimator) O operator (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) optimizer (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) OqtopusEstimator (class in scikit_quri.backend.oqtopus_estimator) OqtopusGradientEstimator (class in scikit_quri.backend.oqtopus_gradient_estimator) OqtopusSampler (class in scikit_quri.backend.oqtopus_sampler) overlap_estimator (class in scikit_quri.qnn.kernel_tsne) OverlapEstimator (class in scikit_quri.state.overlap_estimator) P parameter_count (scikit_quri.circuit.circuit.LearningCircuit property) plot() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) pqc_f_helper (class in scikit_quri.qnn.kernel_tsne) predict() (scikit_quri.qkrr.qkrr.QKRR method) (scikit_quri.qnn.classifier.QNNClassifier method) (scikit_quri.qnn.generation.QNNGenerator method) (scikit_quri.qnn.regressor.QNNRegressor method) (scikit_quri.qsvm.base_qsv.BaseQSV method) Q QKRR (class in scikit_quri.qkrr.qkrr) QNNClassifier (class in scikit_quri.qnn.classifier) QNNGenerator (class in scikit_quri.qnn.generation) QNNRegressor (class in scikit_quri.qnn.regressor) QSVC (class in scikit_quri.qsvm.base_qsv) QSVR (class in scikit_quri.qsvm.base_qsv) quantum_kernel_tsne (class in scikit_quri.qnn.kernel_tsne) S sample() (scikit_quri.backend.oqtopus_sampler.OqtopusSampler method) sample_one() (scikit_quri.backend.oqtopus_sampler.OqtopusSampler method) scikit_quri module scikit_quri.backend.base_estimator module scikit_quri.backend.base_gradient_estimator module scikit_quri.backend.oqtopus_estimator module scikit_quri.backend.oqtopus_gradient_estimator module scikit_quri.backend.oqtopus_sampler module scikit_quri.backend.sim_estimator module scikit_quri.backend.sim_gradient_estimator module scikit_quri.circuit.circuit module scikit_quri.circuit.pre_defined module scikit_quri.qkrr.qkrr module scikit_quri.qnn.classifier module scikit_quri.qnn.generation module scikit_quri.qnn.kernel_tsne module scikit_quri.qnn.regressor module scikit_quri.qsvm.base_qsv module scikit_quri.state.overlap_estimator module SimEstimator() (in module scikit_quri.backend.sim_estimator) SimGradientEstimator (class in scikit_quri.backend.sim_gradient_estimator) SVC (scikit_quri.qsvm.base_qsv.SVMethodType attribute) SVMethodType (class in scikit_quri.qsvm.base_qsv) SVR (scikit_quri.qsvm.base_qsv.SVMethodType attribute) T to_batched() (scikit_quri.circuit.circuit.LearningCircuit method) to_batched_for_gradient() (scikit_quri.circuit.circuit.LearningCircuit method) train() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) trained_param (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) transform() (scikit_quri.qnn.kernel_tsne.quantum_kernel_tsne method) TSNE (class in scikit_quri.qnn.kernel_tsne) X x_norm_range (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) Y y_exp_ratio (scikit_quri.qnn.classifier.QNNClassifier attribute) (scikit_quri.qnn.regressor.QNNRegressor attribute) y_norm_range (scikit_quri.qnn.regressor.QNNRegressor attribute)