Indirect estimation methods are techniques used to infer or approximate certain parameters or quantities without directly measuring them. These methods leverage statistical or mathematical models to make estimations based on available data, often in scenarios where direct measurements are impractical or impossible. In the context of quantum kernel estimation, these methods play a crucial role in approximating quantum states or properties from classical data inputs, thereby enhancing the efficiency of quantum machine learning algorithms.
congrats on reading the definition of indirect estimation methods. now let's actually learn it.