Solar cells will be one of the key electricity-generation sources in a net-zero economy. But even though they are getting cheaper, they still are far from their theoretical maximum efficiency. Today’s solar cells rely on **crystalline silicon** and have an efficiency on the order of 20%. Solar cells based on perovskite crystal structures, which have a theoretical efficiency of up to 40%, could be a better alternative. They present challenges, however, because they lack long-term stability and could, in some varieties, be more toxic. Furthermore, the technology has not been mass produced yet. Quantum computing could help tackle these challenges by allowing for **precise simulation of perovskite structures** in all combinations using different base atoms and doping, thereby identifying higher efficiency, higher durability, and nontoxic solutions. If the theoretical efficiency increase can be reached, the levelized cost of electricity (LCOE) would decrease by 50%. By simulating the impact of cheaper and more efficient quantum-enabled solar panels, we see a significant increase in use in areas with lower carbon prices (China, for example). This is also true of countries in Europe with high irradiance (Spain, Greece) or poor conditions for wind energy (Hungary). The impact is magnified when combined with cheap battery storage, as discussed above. [[PV Power Forecast]]