cuquantum.custatevec.measure_batched¶

cuquantum.custatevec.measure_batched(intptr_t handle, intptr_t batched_svs, int sv_data_type, uint32_t n_index_bits, uint32_t n_svs, int64_t sv_stride, intptr_t bit_strings, bit_ordering, uint32_t bit_string_len, rand_nums, int collapse)[source]¶

Performs measurement of a batched of statevectors.

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 statevector.
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 (intptr_t) – The pointer address (as Python int) to a host or device array of measured bit strings.
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 bit_string.
rand_nums (double) –
An array of random numbers in [0, 1). It can be
- an int as the pointer address to the array (on host or device)
- a Python sequence of random numbers
collapse (Collapse) – Indicate the collapse operation.