fastdla.SparsePauliSumArray

class fastdla.SparsePauliSumArray(pauli_sums=None, num_qubits=None, initial_capacity=MEM_ALLOC_UNIT)

A container of SparsePauliSums with concatenated data.

Conceptually, SparsePauliSumArray is simply a list of SparsePauliSum``s, and have interfaces that resemble a list (such as ``append, __getitem__, and __len__). Internally, the indices and coeffs are directly concatenated into single arrays.

Parameters:

• pauli_sums (Optional[list[SparsePauliSum]]) – List of SparsePauliSums.

• num_qubits (Optional[int]) – Used when initializing a length-0 array. If not given, num_qubits of the first SparsePauliSum to be appended will be used.

• initial_capacity (int) – Initial maximum size of the concatenated arrays.

Methods

append(pauli_sum)	Append a new SparsePauliSum.
from_csr(matrix)	Convert from an array of Pauli vectors in the CSR format.
normalize()	Return a new array with normalized elements.
to_csr()	Convert to an array of Pauli vectors in the CSR format.
to_matrices(*[, sparse, npmod])	Convert to an array of dense matrices.

Attributes

MEM_ALLOC_UNIT
capacity	Current maximum size of the concatenated arrays.
shape	Shape of the array as a list of Pauli tensors.
vlen	Length of the component Pauli vectors.