mlx
v0.1.0
Search documentation of mlx
Settings
mlx_quantum
(mlx v0.1.0)
View Source
Summary
Functions
add_encoding_layer(Circuit, InputSize)
add_gate(Circuit, GateType, Qubits)
add_measurement_layer(Circuit, OutputSize)
add_parameterized_gate(Circuit, GateType, Qubits, Parameters)
add_variational_layers(Circuit, Layers, Entanglement)
apply_circuit(Circuit, QuantumState)
apply_gate(Gate, QuantumState)
calculate_required_qubits(InputSize, OutputSize)
classical_simulation_complexity(QuantumCircuit)
construct_qpe_circuit(UnitaryOperator, NumAncillaQubits)
create_initial_state(NumQubits)
create_zero_state_amplitudes(NumQubits)
extract_phase_estimate(FinalState, NumAncillaQubits)
get_input_dimension(TrainingData)
hybrid_quantum_classical_network(ClassicalNetwork, QuantumNetwork, HybridConfig)
initialize_parameters(QNN)
logical_qubit_encoding(PhysicalQubits, ErrorCorrectionCode)
prepare_qpe_initial_state(EigenState, NumAncillaQubits)
quantum_advantage_metric(QuantumAlgorithm, ClassicalAlgorithm)
quantum_approximate_optimization(CostHamiltonian, MixerHamiltonian, Layers, Options)
quantum_attention(Query, Key, Value, Options)
quantum_circuit(NumQubits)
quantum_circuit(NumQubits, Options)
quantum_convolutional_layer(Input, Kernels, Options)
quantum_cross_entropy_loss(QNN, Parameters, TrainingData)
quantum_differential_privacy(Dataset, QuantumModel, PrivacyBudget)
quantum_enhanced_optimization(ObjectiveFunction, InitialParameters, Options)
quantum_error_correction(QuantumState, ErrorCorrectionCode)
quantum_error_correction(QuantumState, ErrorCorrectionCode, Options)
quantum_expectation_value(Hamiltonian, AnsatzCircuit, Parameters)
quantum_federated_learning(ClientData, QuantumModel, FederatedConfig)
quantum_fourier_transform(QuantumState)
quantum_fourier_transform(QuantumState, Options)
quantum_kernel_methods(TrainingData, TestData, KernelConfig)
quantum_machine_learning_advantage(Dataset, QuantumModel, ClassicalModel)
quantum_neural_network(InputSize, OutputSize)
quantum_neural_network(InputSize, OutputSize, Options)
quantum_phase_estimation(UnitaryOperator, EigenState, Precision)
quantum_supremacy_test(QuantumCircuit, ClassicalSimulation)
quantum_variational_optimization(CostFunction, InitialParameters, MaxIterations, Tolerance)
simulate_circuit(Circuit, NumShots)
syndrome_measurement(EncodedQuantumState)
variational_quantum_classifier(TrainingData, NumClasses, Options)
variational_quantum_eigensolver(Hamiltonian, AnsatzCircuit, Options)
Functions
add_encoding_layer(Circuit, InputSize)
add_gate(Circuit, GateType, Qubits)
add_measurement_layer(Circuit, OutputSize)
add_parameterized_gate(Circuit, GateType, Qubits, Parameters)
add_variational_layers(Circuit, Layers, Entanglement)
apply_circuit(Circuit, QuantumState)
apply_gate(Gate, QuantumState)
calculate_required_qubits(InputSize, OutputSize)
classical_simulation_complexity(QuantumCircuit)
construct_qpe_circuit(UnitaryOperator, NumAncillaQubits)
create_initial_state(NumQubits)
create_zero_state_amplitudes(NumQubits)
extract_phase_estimate(FinalState, NumAncillaQubits)
get_input_dimension(TrainingData)
hybrid_quantum_classical_network(ClassicalNetwork, QuantumNetwork, HybridConfig)
initialize_parameters(QNN)
logical_qubit_encoding(PhysicalQubits, ErrorCorrectionCode)
prepare_qpe_initial_state(EigenState, NumAncillaQubits)
quantum_advantage_metric(QuantumAlgorithm, ClassicalAlgorithm)
quantum_approximate_optimization(CostHamiltonian, MixerHamiltonian, Layers, Options)
quantum_attention(Query, Key, Value, Options)
quantum_circuit(NumQubits)
quantum_circuit(NumQubits, Options)
quantum_convolutional_layer(Input, Kernels, Options)
quantum_cross_entropy_loss(QNN, Parameters, TrainingData)
quantum_differential_privacy(Dataset, QuantumModel, PrivacyBudget)
quantum_enhanced_optimization(ObjectiveFunction, InitialParameters, Options)
quantum_error_correction(QuantumState, ErrorCorrectionCode)
quantum_error_correction(QuantumState, ErrorCorrectionCode, Options)
quantum_expectation_value(Hamiltonian, AnsatzCircuit, Parameters)
quantum_federated_learning(ClientData, QuantumModel, FederatedConfig)
quantum_fourier_transform(QuantumState)
quantum_fourier_transform(QuantumState, Options)
quantum_kernel_methods(TrainingData, TestData, KernelConfig)
quantum_machine_learning_advantage(Dataset, QuantumModel, ClassicalModel)
quantum_neural_network(InputSize, OutputSize)
quantum_neural_network(InputSize, OutputSize, Options)
quantum_phase_estimation(UnitaryOperator, EigenState, Precision)
quantum_supremacy_test(QuantumCircuit, ClassicalSimulation)
quantum_variational_optimization(CostFunction, InitialParameters, MaxIterations, Tolerance)
simulate_circuit(Circuit, NumShots)
syndrome_measurement(EncodedQuantumState)
variational_quantum_classifier(TrainingData, NumClasses, Options)
variational_quantum_eigensolver(Hamiltonian, AnsatzCircuit, Options)