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<!— cspell:ignore cudaq —> Classiq to CUDA-Q translation. These functions require the cudaq extra (install classiq[cudaq]). Note that the cudaq extra is only available in Classiq Studio and on any Linux Machine.

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qprog_to_cudaq_kernel

qprog_to_cudaq_kernel(
quantum_program: QuantumProgram,
is_main_kernel: bool = True
) -> Union[cudaq.PyKernel, tuple]
Translates a quantum program into a CUDA-Q kernel. The ‘is_main_kernel’ parameter controls the kind of the returned kernel. If ‘is_main_kernel’ is True, the returned kernel can be used with CUDA-Q functions such as ‘cudaq.draw()’ and ‘cudaq.get_state()’, but it cannot be added to another kernel via `apply_call()’. If ‘is_main_kernel’ is False, the reverse holds: The returned kernel cannot be used with CUDA-Q functions but can be added to another kernel. Parameters: Returns:
  • Type: Union[cudaq.PyKernel, tuple]
  • A CUDA-Q kernel. If the quantum program includes foreach statements, a tuple
  • containing a CUDA-Q kernel and its foreach arguments will be returned.

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pauli_operator_to_cudaq_spin_op

pauli_operator_to_cudaq_spin_op(
operator: SparsePauliOp
) -> cudaq.SpinOperator
Transforms Qmod’s SparsePauliOp data structure to CUDA-Q’s SpinOperator. Parameters: Returns:
  • Type: cudaq.SpinOperator
  • The equivalent operator in CUDA-Q’s data structure