cuquantum.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.

  • 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.