accessor_compute#

cuquantum.bindings.cutensornet.accessor_compute( intptr_t handle, intptr_t tensor_network_accessor, projected_mode_values, intptr_t work_desc, intptr_t amplitudes_tensor, intptr_t state_norm, intptr_t cuda_stream, )[source]#

Computes the amplitudes of the tensor network state.

Parameters:

handle (intptr_t) – cuTensorNet library handle.
tensor_network_accessor (intptr_t) – Tensor network state amplitudes accessor.
projected_mode_values (object) –
The values of the projected state modes or NULL pointer if there are no projected modes. It can be:
- an int as the pointer address to the array, or
- a Python sequence of int64_t.
work_desc (intptr_t) – Workspace descriptor (the required scratch/cache memory buffers must be set by the user).
amplitudes_tensor (intptr_t) – Storage for the computed tensor network state amplitudes tensor.
state_norm (intptr_t) – The squared 2-norm of the underlying tensor circuit state (Host pointer). The returned scalar will have the same numerical data type as the tensor circuit state. Providing a NULL pointer will ignore norm calculation.
cuda_stream (intptr_t) – CUDA stream.