This paper proposes a novel heuristic optimization algorithm that directly draws upon the core principles of quantum thermodynamics, including coherent evolution, thermal dissipation, quantum fluctuations, entropy generation, and the work-information coupling mechanism. Traditional optimization algorithms often get trapped in local optima when dealing with complex non-convex problems, lacking global exploration capabilities and dynamic diversity control. The proposed algorithm constructs a density matrix to repres…