create_sampler#

cuquantum.bindings.cutensornet.create_sampler( intptr_t handle, intptr_t tensor_network_state, int32_t num_modes_to_sample, modes_to_sample, ) → intptr_t[source]#

Creates a tensor network state sampler.

Parameters:

handle (intptr_t) – cuTensorNet library handle.
tensor_network_state (intptr_t) – Tensor network state.
num_modes_to_sample (int32_t) – Number of the tensor network state modes to sample from.
modes_to_sample (object) –
Pointer to the state modes to sample from (can be NULL when all modes are requested). It can be:
- an int as the pointer address to the array, or
- a Python sequence of int32_t.

Returns:

Tensor network sampler.

Return type:

intptr_t