compute_expectation_batched#
-
cuquantum.
bindings. custatevec. compute_expectation_batched( - intptr_t handle,
- intptr_t batched_sv,
- int sv_data_type,
- uint32_t n_index_bits,
- uint32_t n_svs,
- int64_t sv_stride,
- intptr_t expectation_values,
- intptr_t matrices,
- int matrix_data_type,
- int layout,
- uint32_t n_matrices,
- basis_bits,
- uint32_t n_basis_bits,
- int compute_type,
- intptr_t extra_workspace,
- size_t extra_workspace_size_in_bytes,
Compute the expectation values of matrix observables for each of the batched state vectors.
- Parameters:
handle (intptr_t) – the handle to the cuStateVec library.
batched_sv (intptr_t) – batched state vector allocated in one continuous memory chunk on device.
sv_data_type (int) – data type of the state vector.
n_index_bits (uint32_t) – the number of index bits of the state vector.
n_svs (uint32_t) – the number of state vectors.
sv_stride (int64_t) – distance of two consecutive state vectors.
expectation_values (intptr_t) – pointer to a host or device array to store expectation values.
matrices (intptr_t) – pointer to allocated matrices in one contiguous memory chunk on host or device.
matrix_data_type (int) – data type of matrices.
layout (MatrixLayout) – matrix memory layout.
n_matrices (uint32_t) – the number of matrices.
basis_bits (object) –
pointer to a host array of basis index bits. It can be:
an
int
as the pointer address to the array, ora Python sequence of
int32_t
.
n_basis_bits (uint32_t) – the number of basis bits.
compute_type (ComputeType) – compute_type of matrix multiplication.
extra_workspace (intptr_t) – pointer to an extra workspace.
extra_workspace_size_in_bytes (size_t) – the size of extra workspace.