cuquantum.custatevec.apply_matrix

cuquantum.custatevec.apply_matrix(intptr_t handle, intptr_t sv, int sv_data_type, uint32_t n_index_bits, intptr_t matrix, int matrix_data_type, int layout, int32_t adjoint, targets, uint32_t n_targets, controls, control_bit_values, uint32_t n_controls, int compute_type, intptr_t extra_workspace, size_t extra_workspace_size_in_bytes)[source]

Apply gate matrix.

Parameters
  • handle (intptr_t) – the handle to the cuStateVec library.

  • sv (intptr_t) – state vector.

  • sv_data_type (int) – data type of the state vector.

  • n_index_bits (uint32_t) – the number of index bits of the state vector.

  • matrix (intptr_t) – host or device pointer to a square matrix.

  • matrix_data_type (int) – data type of matrix.

  • layout (MatrixLayout) – enumerator specifying the memory layout of matrix.

  • adjoint (int32_t) – apply adjoint of matrix.

  • targets (object) –

    pointer to a host array of target bits. It can be:

    • an int as the pointer address to the array, or

    • a Python sequence of int32_t.

  • n_targets (uint32_t) – the number of target bits.

  • controls (object) –

    pointer to a host array of control bits. It can be:

    • an int as the pointer address to the array, or

    • a Python sequence of int32_t.

  • control_bit_values (object) –

    pointer to a host array of control bit values. It can be:

    • an int as the pointer address to the array, or

    • a Python sequence of int32_t.

  • n_controls (uint32_t) – the number of control bits.

  • compute_type (ComputeType) – compute_type of matrix multiplication.

  • extra_workspace (intptr_t) – extra workspace.

  • extra_workspace_size_in_bytes (size_t) – extra workspace size.