Struct SparseMatrix

pub struct SparseMatrix { /* private fields */ }

Sparse matrix representation for quantum gates

Implementations

impl SparseMatrix

pub fn new(csr: CsrMatrix<Complex64>) -> QuantRS2Result<Self>

Create a new sparse matrix

pub fn from_triplets( rows: Vec<usize>, cols: Vec<usize>, data: Vec<Complex64>, dim: usize, ) -> QuantRS2Result<Self>

Create from triplets

Trait Implementations

impl Clone for SparseMatrix

fn clone(&self) -> SparseMatrix

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for SparseMatrix

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

Formats the value using the given formatter.

impl QuantumMatrix for SparseMatrix

fn dim(&self) -> usize

Get the dimension of the matrix (assumed square)

fn to_dense(&self) -> Array2<Complex64>

Convert to dense representation

fn to_sparse(&self) -> QuantRS2Result<CsrMatrix<Complex64>>

Convert to sparse representation

fn is_unitary(&self, tolerance: f64) -> QuantRS2Result<bool>

Check if the matrix is unitary

fn tensor_product( &self, other: &dyn QuantumMatrix, ) -> QuantRS2Result<Array2<Complex64>>

Compute the tensor product with another matrix

fn apply( &self, state: &ArrayView1<'_, Complex64>, ) -> QuantRS2Result<Array1<Complex64>>

Apply to a state vector