Struct Tensor

pub struct Tensor {
    pub id: usize,
    pub data: ArrayD<Complex<f64>>,
    pub indices: Vec<String>,
    pub shape: Vec<usize>,
}

A tensor in the network

Fields

id: usize

Unique identifier for the tensor

data: ArrayD<Complex<f64>>

The tensor data

indices: Vec<String>

Labels for each index of the tensor

shape: Vec<usize>

Shape of the tensor

Implementations

impl Tensor

pub fn new(id: usize, data: ArrayD<Complex<f64>>, indices: Vec<String>) -> Self

Create a new tensor

pub fn from_matrix( id: usize, matrix: Array2<Complex<f64>>, in_idx: String, out_idx: String, ) -> Self

Create a tensor from a 2D array (matrix)

pub fn qubit_zero(id: usize, idx: String) -> Self

Create a qubit tensor in |0⟩ state

pub fn qubit_one(id: usize, idx: String) -> Self

Create a qubit tensor in |1⟩ state

pub fn from_array<D>( array: ArrayBase<OwnedRepr<Complex<f64>>, D>, indices: Vec<usize>, ) -> Self

where D: Dimension,

Create a tensor from an ndarray with specified indices

pub fn rank(&self) -> usize

Get the rank (number of indices) of the tensor

pub fn tensor(&self) -> &ArrayD<Complex<f64>>

Get a reference to the tensor data

pub fn ndim(&self) -> usize

Get the number of dimensions

pub fn contract( &self, other: &Tensor, self_idx: &str, other_idx: &str, ) -> QuantRS2Result<Tensor>

Contract this tensor with another over specified indices

pub fn svd_decompose( &self, idx: usize, max_rank: Option<usize>, ) -> QuantRS2Result<(Tensor, Tensor)>

Apply SVD decomposition to split tensor along specified index

Trait Implementations

impl Clone for Tensor

fn clone(&self) -> Tensor

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for Tensor

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

Formats the value using the given formatter.