pub struct QuantumMLAccelerator {
pub feature_maps: Vec<QuantumFeatureMap>,
pub variational_layers: Vec<VariationalLayer>,
pub natural_gradient_optimizer: NaturalGradientOptimizer,
pub tensor_network_processor: TensorNetworkProcessor,
}Expand description
Quantum ML accelerator with hardware-efficient operations
Fields§
§feature_maps: Vec<QuantumFeatureMap>§variational_layers: Vec<VariationalLayer>§natural_gradient_optimizer: NaturalGradientOptimizer§tensor_network_processor: TensorNetworkProcessorImplementations§
Source§impl QuantumMLAccelerator
impl QuantumMLAccelerator
pub fn new(qubit_count: usize) -> Self
pub fn encode_features( &self, data: &Array1<f64>, ) -> Result<Array1<Complex64>, QuantRS2Error>
pub fn apply_variational_circuit( &self, state: &Array1<Complex64>, _parameters: &[f64], ) -> Result<Array1<Complex64>, QuantRS2Error>
pub fn calculate_natural_gradients( &self, _state: &Array1<Complex64>, parameters: &[f64], ) -> Result<Array1<f64>, QuantRS2Error>
pub fn tensor_network_computation( &self, state: &Array1<Complex64>, ) -> Result<Array1<Complex64>, QuantRS2Error>
Trait Implementations§
Auto Trait Implementations§
impl Freeze for QuantumMLAccelerator
impl RefUnwindSafe for QuantumMLAccelerator
impl Send for QuantumMLAccelerator
impl Sync for QuantumMLAccelerator
impl Unpin for QuantumMLAccelerator
impl UnwindSafe for QuantumMLAccelerator
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