This　study　employs　a　quantum　genetic　algorithm　(QGA)　to　optimize　the　thickness　configuration　of　triple-layer　window　glass,　aiming　to　reduce　indoor　ultraviolet　(UV)　transmission　while　maximizing　visible　light　transmission　in　the　400nm　to　800nm　wavelength　range.　By　simulating　the　optical　properties　of　the　glass　layers,　the　optimal　thicknesses　were　determined　as　L1=6.97nm,　L2=5.37nm,　and　L3=5.68nm.　After　400　iterations,　the　optimized　configuration　effectively　minimized　UV　energy　in　the　300nm　to　400nm　band　while　maintaining　high　visible　light　transmittance,　particularly　around　500nm.　These　results　demonstrate　the　potential　of　QGA　in　addressing　complex　optimization　problems　related　to　building　materials.　The　findings　contribute　to　improving　indoor　comfort　and　health　by　enhancing　the　protective　and　lighting　functions　of　window　glass.　Future　research　will　explore　a　broader　range　of　materials　and　layer　combinations,　as　well　as　the　behavior　of　UV　rays　across　different　wavelengths,　to　further　optimize　the　light　quality　in　living　and　working　environments.　The　study　provides　a　new　technical　approach　for　the　design　of　modern　building　materials,　offering　insights　into　the　application　of　quantum　algorithms　in　practical　engineering　challenges.　©　2025　SPIE.