Struct TQAngleEncoder 

pub struct TQAngleEncoder {
    pub func: String,
    pub scaling: f64,
    /* private fields */
}

Angle encoder - encodes data as angles in rotation gates More flexible than PhaseEncoder with configurable scaling

Fields

func: String

Rotation type (rx, ry, rz)

scaling: f64

Scaling factor for input values

Implementations

impl TQAngleEncoder

pub fn new(func: impl Into<String>, scaling: f64) -> Self

pub fn with_pi_scaling(func: impl Into<String>) -> Self

Create with default PI scaling (maps [0,1] to [0, PI])

pub fn with_2pi_scaling(func: impl Into<String>) -> Self

Create with 2PI scaling (maps [0,1] to [0, 2PI])

pub fn arcsin() -> Self

Create RY encoder with arcsin scaling (for probability amplitude encoding)

Trait Implementations

impl Clone for TQAngleEncoder

fn clone(&self) -> TQAngleEncoder

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TQAngleEncoder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl TQEncoder for TQAngleEncoder

fn encode(&mut self, qdev: &mut TQDevice, x: &Array2<f64>) -> Result<()>

Encode classical data into quantum state

impl TQModule for TQAngleEncoder

fn forward(&mut self, _qdev: &mut TQDevice) -> Result<()>

Execute the forward pass on the quantum device

fn forward_with_input( &mut self, qdev: &mut TQDevice, x: Option<&Array2<f64>>, ) -> Result<()>

Execute forward pass with optional input data (for encoders)

fn parameters(&self) -> Vec<TQParameter>

Get all trainable parameters

fn n_wires(&self) -> Option<usize>

Get number of wires this module operates on

fn set_n_wires(&mut self, n_wires: usize)

Set number of wires

fn is_static_mode(&self) -> bool

Check if module is in static mode

fn static_on(&mut self)

Enable static mode for graph optimization

fn static_off(&mut self)

Disable static mode

fn name(&self) -> &str

Module name for debugging

fn get_unitary(&self) -> Option<Array2<CType>>

Get the unitary matrix representation (if available)

fn zero_grad(&mut self)

Zero gradients of all parameters

fn train(&mut self, _mode: bool)

Set training mode

fn training(&self) -> bool

Check if in training mode