bloqade.analog.emulate.sparse_operator.SparseMatrixCSR

← Module overview

classSparseMatrixCSR¶source

bloqade.analog.emulate.sparse_operator.SparseMatrixCSR

Signature

class SparseMatrixCSR(data: NDArray, indices: NDArray, indptr: NDArray, shape: tuple[int, int])

Public import paths

• from bloqade.analog.emulate.ir.state_vector import SparseMatrixCSR

Parameters

Name	Type	Description
data	NDArray
indices	NDArray
indptr	NDArray
shape	tuple[int, int]

Attributes

Name	Type	Description
data	NDArray
indices	NDArray
indptr	NDArray
shape	tuple[int, int]

methodcreate¶source

bloqade.analog.emulate.sparse_operator.SparseMatrixCSR.create

def create(arg1, shape=None, dtype=None, copy=False) -> SparseMatrixCSR

Parameters

Name	Type	Default	Description
arg1	—	required
shape	—	None
dtype	—	None
copy	—	False

Returns

SparseMatrixCSR

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methodtocsr¶source

bloqade.analog.emulate.sparse_operator.SparseMatrixCSR.tocsr

def tocsr()

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methodtoarray¶source

bloqade.analog.emulate.sparse_operator.SparseMatrixCSR.toarray

def toarray()

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propertyT¶source

bloqade.analog.emulate.sparse_operator.SparseMatrixCSR.T

T

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methodmatvec¶source

bloqade.analog.emulate.sparse_operator.SparseMatrixCSR.matvec

def matvec(other, out=None, scale=1)

Parameters

Name	Type	Default	Description
other	—	required
out	—	None
scale	—	1

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