  We explore the use of classical programming techniques in implementing the
quantum lattice Boltzmann method in the Intel Quantum SDK -- a software tool
for quantum circuit creation and execution on Intel quantum hardware. As
hardware access is limited, we use the state vector simulator provided by the
SDK. The novelty of this work lies in leveraging classical techniques for the
implementation of quantum algorithms. We emphasize the refinement of algorithm
implementation and devise strategies to enhance quantum circuits for better
control over problem variables. To this end, we adopt classical principles such
as modularization, which allows for systematic and controlled execution of
complex algorithms. Furthermore, we discuss how the same implementation could
be expanded from state vector simulations to execution on quantum hardware with
minor adjustments in these configurations.
