cuquantum.custatevec.collapse_by_bitstring_batched¶

cuquantum.custatevec.collapse_by_bitstring_batched(intptr_t handle, intptr_t batched_svs, int sv_data_type, uint32_t n_index_bits, uint32_t n_svs, _Index sv_stride, bit_strings, bit_ordering, uint32_t bit_string_len, norms, intptr_t workspace, size_t workspace_size)[source]¶

Collapse the batched statevectors to the states specified by the given bit strings.

Parameters

handle (intptr_t) – The library handle.
batched_svs (intptr_t) – The pointer address (as Python int) to the batched statevectors (on device).
sv_data_type (cuquantum.cudaDataType) – The data type of the statevectors.
n_index_bits (uint32_t) – The number of index bits.
n_svs (uint32_t) – The number of batched statevectors.
sv_stride (int64_t) – The stride between each state vector in the batch.
bit_strings –
An array of bit strings. It can be
- an int as the pointer address to the array (on host or device)
- a Python sequence of bits on host
bit_ordering –
A host array of bit string ordering. It can be
- an int as the pointer address to the array
- a Python sequence of bit ordering
bit_string_len (uint32_t) – The length of individual bit_string.
norms –
An array of normalization factors for the statevectors after collapse. It can be
- an int as the pointer address to the array (on host or device)
- a Python sequence of normalization factors on host
workspace (intptr_t) – The pointer address (as Python int) to the workspace (on device).
workspace_size (size_t) – The workspace size (in bytes).