- cuquantum.custatevec.compute_expectation(intptr_t handle, intptr_t sv, int sv_data_type, uint32_t n_index_bits, intptr_t expect, int expect_data_type, intptr_t matrix, int matrix_data_type, int layout, basis_bits, uint32_t n_basis_bits, int compute_type, intptr_t workspace, size_t workspace_size)[source]¶
Compute the expectation value of the given matrix with respect to the statevector.
handle (intptr_t) – The library handle.
sv (intptr_t) – The pointer address (as Python
int) to the statevector (on device).
sv_data_type (cuquantum.cudaDataType) – The data type of the statevector.
n_index_bits (uint32_t) – The number of index bits.
expect (intptr_t) – The pointer address (as Python
int) for storing the expectation value (on host).
expect_data_type (cuquantum.cudaDataType) – The data type of
matrix (intptr_t) – The pointer address (as Python
int) to a matrix (on either host or device).
matrix_data_type (cuquantum.cudaDataType) – The data type of the matrix.
layout (MatrixLayout) – The memory layout the the matrix.
A host array of basis index bits. It can be
intas the pointer address to the array
a Python sequence of basis bits
n_basis_bits (uint32_t) – The length of
compute_type (cuquantum.ComputeType) – The compute type of matrix multiplication.
workspace (intptr_t) – The pointer address (as Python
int) to the workspace (on device).
workspace_size (size_t) – The workspace size (in bytes).