<p>This paper addresses the problem of improving the ef�iciency of control systems for complex dynamic objects in thermal power engineering. To synthesize control system, the application of quantum algorithms and a quantum-photon spin approach based on photon polarization and spin states is proposed. The essence of this method lies in the decomposition of a thermal power engineering object into interconnected local quantum subsystems and the parallel computation of optimal control parameters for each of them. Within the proposed framework, mathematical modeling of dynamic objects employs the principles of quantum superposition and interference, which enhance the adaptability of the control algorithm and increase computational speed. The developed quantum-photon-spin algorithm was experimentally validated in the synthesis of a control system for the main technological parameters of a steam superheater. A comparative analysis with conventional control methods demonstrates that the proposed approach improves the response speed of the control system, reduces energy consumption, and ensures robustness to external disturbances. Keywords: quantum-photon-spin method; thermal power engineering objects; control system synthesis; superposition; interference; photon polarization; spin states; qubit.</p>