cuquantum.custatevec.compute_expectation_batched¶

cuquantum.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)[source]¶

Compute the expectation values of matrix observables to 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 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, or
- a 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.